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20 Biggest AI Tool and Model Updates in 2023 [With Features]

Oriol Zertuche — Thu, 23 Nov 2023 02:03:08 +0000

The AI market has grown by 38% in 2023, and one of the major reasons behind it is the large number of AI models and tools introduced by big brands!

But why are companies launching AI models and tools for business?

PWC reports how AI can boost employee potential by up to 40% by 2025!

Check out the graph below for the year-on-year revenue projections in the AI market (2018-2025) —

With a total of 14,700 startups in the United States alone as of March 2023, the business potential of AI is undoubtedly huge!

What are Large Language Models (LLMs) in AI?

Large Language Models (LLMs) are advanced AI tools designed to simulate human-like intelligence through language understanding and generation. These models operate by statistically analyzing extensive data to learn how words and phrases interconnect.

As a subset of artificial intelligence, LLMs are adept at a range of tasks, including creating text, categorizing it, answering questions in dialogue, and translating languages.

Their “large” designation comes from the substantial datasets they’re trained on. The foundation of LLMs lies in machine learning, particularly in a neural network framework known as a transformer model. This allows them to effectively handle various natural language processing (NLP) tasks, showcasing their versatility in understanding and manipulating language.

Which are the Top Open-Source LLMs in 2023?

As of September 2023, the Falcon 180B emerged as the top pre-trained Large Language Model on the Hugging Face Open LLM Leaderboard, achieving the highest performance ranking.

Let’s take you through the top 7 AI Models in 2023 —

1. Falcon LLM

Falcon LLM is a powerful pre-trained Open Large Language Model that has redefined the capabilities of AI language processing.

The model has 180 billion parameters and is trained on 3.5 trillion tokens. It can be used for both commercial and research use.

In June 2023, Falcon LLM topped HuggingFace’s Open LLM Leaderboard, earning it the title of ‘King of Open-Source LLMs.’

Falcon LLM Features:

Performs well in reasoning, proficiency, coding, and knowledge tests.
FlashAttention and multi-query attention for faster inference & better scalability.
Allows commercial usage without royalty obligations or restrictions.
The platform is free to use.

2. Llama 2

Meta has released Llama 2, a pre-trained online data source available for free. Llama 2 is the second version of Llama, which is doubled in context length and trained 40% more than its predecessor.

Llama 2 also offers a Responsible Use Guide that helps the user understand its best practices and safety evaluation.

Llama 2 Features:

Llama 2 is available free of charge for both research and commercial use.
Includes model weights and starting code for both pre-trained and conversational fine-tuned versions.
Accessible through various providers, including Amazon Web Services (AWS) and Hugging Face.
Implements an Acceptable Use Policy to ensure ethical and responsible utilization.

3. Claude 2.0 and 2.1

Claude 2 was an advanced language model developed by Anthropic. The model boasts improved performance, longer responses, and accessibility through both an API and a new public-facing beta website, claude.ai.

After ChatGPT, this model offers a larger context window and is considered to be one of the most efficient chatbots.

Claude 2 Features:

Exhibits enhanced performance over its predecessor, offering longer responses.
Allows users to interact with Claude 2 through both API access and a new public-facing beta website, claude.ai
Demonstrates a longer memory compared to previous models.
Utilizes safety techniques and extensive red-teaming to mitigate offensive or dangerous outputs.

Free Version: Available
Pricing: $20/month

The Claude 2.1 model introduced on 21 November 2023 brings forward notable improvements for enterprise applications. It features a leading-edge 200K token context window, greatly reduces instances of model hallucination, enhances system prompts, and introduces a new beta feature focused on tool use.

Claude 2.1 not only brings advancements in key capabilities for enterprises but also doubles the amount of information that can be communicated to the system with a new limit of 200,000 tokens.

This is equivalent to approximately 150,000 words or over 500 pages of content. Users are now empowered to upload extensive technical documentation, including complete codebases, comprehensive financial statements like S-1 forms, or lengthy literary works such as “The Iliad” or “The Odyssey.”

With the ability to process and interact with large volumes of content or data, Claude can efficiently summarize information, conduct question-and-answer sessions, forecast trends, and compare and contrast multiple documents, among other functionalities.

Claude 2.1 Features:

2x Decrease in Hallucination Rates
API Tool Use
Better Developer Experience

Pricing: TBA

4. MPT-7B

MPT-7B stands for MosaicML Pretrained Transformer, trained from scratch on 1 Trillion tokens of texts and codes. Like GPT, MPT also works on decoder-only transformers but with a few improvements.

At a cost of $200,000, MPT-7B was trained on the MosaicML platform in 9.5 days without any human intervention.

Features:

Generates dialogue for various conversational tasks.
Well-equipped for seamless, engaging multi-turn interactions.
Includes data preparation, training, finetuning, and deployment.
Capable of handling extremely long inputs without losing context.
Available at no cost.

5. CodeLIama

Code Llama is a large language model (LLM) specifically designed for generating and discussing code based on text prompts. It represents a state-of-the-art development among publicly available LLMs for coding tasks.

According to Meta’s news blog, Code Llama aims to support open model evaluation, allowing the community to assess capabilities, identify issues, and fix vulnerabilities.

CodeLIama Features:

Lowers the entry barrier for coding learners.
Serves as a productivity and educational tool for writing robust, well-documented software.
Compatible with popular programming languages, including Python, C++, Java, PHP, Typescript (Javascript), C#, Bash, and more.
Three sizes available with 7B, 13B, and 34B parameters, each trained with 500B tokens of code and code-related data.
Can be deployed at zero cost.

6. Mistral-7B AI Model

Mistral 7B is a large language model developed by the Mistral AI team. It is a language model with 7.3 billion parameters, indicating its capacity to understand and generate complex language patterns.

Further, Mistral -7B claims to be the best 7B model ever, outperforming Llama 2 13B on several benchmarks, proving its effectiveness in language learning.

Mistral-7B Features:

Utilizes Grouped-query attention (GQA) for faster inference, improving the efficiency of processing queries.
Implements Sliding Window Attention (SWA) to handle longer sequences at a reduced computational cost.
Easy to fine-tune on various tasks, demonstrating adaptability to different applications.
Free to use.

7. ChatGLM2-6B

ChatGLM2-6B is the second version of the open-source bilingual (Chinese-English) chat model ChatGLM-6B.It was developed by researchers at Tsinghua University, China, in response to the demand for lightweight alternatives to ChatGPT.

ChatGLM2-6B Features:

Trained on over 1 trillion tokens in English and Chinese.
Pre-trained on over 1.4 trillion tokens for increased language understanding.
Supports longer contexts, extended from 2K to 32K.
Outperforms competitive models of similar size on various datasets (MMLU, CEval, BBH).

Free Version: Available
Pricing: On Request

What are AI Tools?

AI tools are software applications that utilize artificial intelligence algorithms to perform specific tasks and solve complex problems. These tools find applications across diverse industries, such as healthcare, finance, marketing, and education, where they automate tasks, analyze data, and aid in decision-making.

The benefits of AI tools include efficiency in streamlining processes, time savings, reducing biases, and automating repetitive tasks.

However, challenges like costly implementation, potential job displacement, and the lack of emotional and creative capabilities are notable. To mitigate these disadvantages, the key lies in choosing the right AI tools.

Which are the Best AI Tools in 2023?

Thoughtful selection and strategic implementation of AI tools can reduce costs by focusing on those offering the most value for specific needs. Carefully selecting and integrating AI tools can help your business utilize AI tool advantages while minimizing the challenges, leading to a more balanced and effective use of technology.

Here are the top 13 AI tools in 2023 —

1. Open AI’s Chat GPT

Chat GPT is a natural language processing AI model that produces humanlike conversational answers. It can answer a simple question like “How to bake a cake?” to write advanced codes. It can generate essays, social media posts, emails, code, etc.

You can use this bot to learn new concepts in the most simple way.

This AI chatbot was built and launched by Open AI, a Research and Artificial company, in November 2022 and quickly became a sensation among netizens.

Features:

The AI appears to be a chatbot, making it user-friendly.
It has subject knowledge for a wide variety of topics.
It is multilingual and has 50+ languages.
Its GPT 3 version is free to use.

Free Version: Available

Pricing:

Chat GPT-3: Free
Chat GPT Plus: 20$/month

Rahul Shyokand, Co-founder of Wilyer:

We recently used ChatGPT to implement our Android App’s most requested feature by enterprise customers. We had to get that feature developed in order for us to be relevant SaaS for our customers. Using ChatGPT, we were able to command a complex mathematical and logical JAVA function that precisely fulfilled our requirements. In less than a week, we were able to deliver the feature to our Enterprise customers by modifying and adapting JAVA code. We immediately unlocked a hike of 25-30% in our B2B SaaS subscriptions and revenue as we launched that feature.

2. GPT-4 Turbo 128K Context

GPT-4 Turbo 128K Context was released as an improved and advanced version of GPT 3.5. With a 128K context window, you can get much more custom data for your applications using techniques like RAG (Retrieval Augmented Generation).

Features:

Provides enhanced functional calling based on user natural language inputs.
Interoperates with software systems using JSON mode.
Offers reproducible output using Seed Parameter.
Expands the knowledge cut-off by nineteen months to April 2023.

Free Version: Not available
Pricing:

Input: $0.01/1000 tokens
Output: $0.3/1000 tokens

3. Chat GPT4 Vision

Open AI launched the Multimodal GPT-4 Vision in March 2023. This version is one of the most instrumental versions of Chat GPT since it can process various types of text and visual formats. GPT-4 has advanced image and voiceover capabilities, unlocking various innovations and use cases.

The generative AI of ChatGPT-4 is trained under 100 trillion parameters, which is 500x the ChatGPT-3 version.

Features:

Understands visual inputs such as photographs, documents, hand-written notes, and screenshots.
Detects and analyzes objects and figures based on visuals uploaded as input.
Offers data analysis of visual formats such as graphs, charts, etc.
Offers 3x cost-effective model
Returns 4096 output tokens

Free Version: Not available
Pricing: Pay for what you use Model

4. GPT 3.5 Turbo Instruct

GPT 3.5 Turbo Instruct was released to mitigate the recurring issues in the GPT-3 version. These issues included inaccurate information, outdated facts, etc.

So, the 3.5 version was specifically designed to produce logical, contextually correct, and direct responses to user’s queries.

Features:

Understands and executes instructions efficiently.
Produces more concise and on-point using a few tokens.
Offers faster and more accurate responses tailored to user’s needs.
Emphasis on mental reasoning abilities over memorization.

Free Version: Not available
Pricing:

Input: $0.0015/1000 tokens
Output: $0.0020/1000 tokens

5. Microsoft Copilot AI Tool

Copilot 365 is a fully-fledged AI tool that works throughout Microsoft Office. Using this AI, you can create documents, read, summarize, and respond to emails, generate presentations, and more. It is specifically designed to increase employee productivity and streamline workflow.

Features:

Summarizes documents and long-chain emails.
Generates and summarizes presentations.
Analyzes Excel sheets and creates graphs to demonstrate data.
Clean up the Outlook inbox faster.
Write emails based on the provided information.

Free Version: 30 days Free Trial

Pricing: 30$/month

6. SAP’s Generative AI Assistant: Joule

Joule is a generative AI assistant by SAP that is embedded in SAP applications, including HR, finance, supply chain, procurement, and customer experience.

Using this AI technology, you can obtain quick responses and insightful insights whenever you need them, enabling quicker decision-making without any delays.

Features:

Assists in understanding and improving sales performance, identifying issues, and suggesting fixes.
Provides continuous delivery of new scenarios for all SAP solutions.
Helps in HR by generating unbiased job descriptions and relevant interview questions.
Transforms SAP user experience by providing intelligent answers based on plain language queries.

Free Version: Available

Pricing: On Request

7. AI Studio by Meta

AI Studio by Meta is built with a vision to enhance how businesses interact with their customers. It allows businesses to create custom AI chatbots for interacting with customers using messaging services on various platforms, including Instagram, Facebook, and Messenger.

The primary use case scenario for AI Studio is the e-commerce and Customer Support sector.

Features:

Summarizes documents and long-chain emails.
Generates and summarizes presentations.
Analyzes Excel sheets and creates graphs to demonstrate data.
Clean up the Outlook inbox faster.
Write emails based on the provided information.

Free Version: 30 days free trial

Pricing: 30$/month

8. EY’s AI Tool

EY AI integrates human capabilities with artificial intelligence (AI) to facilitate the confident and responsible adoption of AI by organizations. It leverages EY’s vast business experience, industry expertise, and advanced technology platforms to deliver transformative solutions.

Features:

Utilizes experience across various domains to deliver AI solutions and insights tailored to specific business needs.
Ensures seamless integration of leading-edge AI capabilities into comprehensive solutions through EY Fabric.
Embeds AI capabilities at speed and scale through EY Fabric.

Free Version: Free for EY employees

Pricing: On Request

9. Amazon’s Generative AI Tool for Sellers

Amazon has recently launched AI for Amazon sellers that help them with several product-related functions. It simplifies writing product titles, bullet points, descriptions, listing details, etc.

This AI aims to create high-quality listings and engaging product information for sellers in minimal time and effort.

Features:

Produces compelling product titles, bullet points, and descriptions for sellers.
Find product bottlenecks using automated monitoring.
Generates automated chatbots to enhance customer satisfaction.
Generates end-to-end prediction models using time series and data types.

Free Version: Free Trial Available

Pricing: On Request

10. Adobe’s Generative AI Tool for Designers

Adobe’s Generative AI for Designers aims to enhance the creative process of designers. Using this tool, you can seamlessly generate graphics within seconds with prompts, expand images, move elements within images, etc.

The AI aims to expand and support the natural creativity of designers by allowing them to move, add, replace, or remove anything anywhere in the image.

Features:

Convert text prompts into images.
Offers a brush to remove objects or paint in new ones.
Provides unique text effects.
Convert 3D elements into images.
Moves the objects in the image.

Free Version: Available

Pricing: $4.99/month

11. Google’s Creative Guidance AI Tool

Google launched a new AI product for ad optimization under the Video Analytics option called Creative Guidance AI. This tool will analyze your ad videos and offer you insightful feedback based on Google’s best practices and requirements.

Additionally, it doesn’t create a video for you but provides valuable feedback to optimize the existing video.

Features:

Examine if the brand logo is shown within 5 seconds of the video.
Analyze video length based on marketing objectives.
Scans high-quality voiceovers.
Analysis aspect ratio of the video.

Free Version: Free

Pricing: On Request

12. Grok: The Next-Gen Generative AI Tool

Grok AI is a large language module developed by xAI, Elon Musk’s AI startup. The tool is trained with 33 billion parameters, comparable to Meta’s LLaMA 2 with 70 billion parameters.

In fact, according to The Indian Express’s latest report, Gork-1 outperforms Clause 2 and GPT 3.5 but still not GPT 4.

Features:

Extracts real-time information from the X platform (formerly Twitter).
Incorporates humor and sarcasm in its response to boost interactions,
Capable of answering “spicy questions” that many AI rejects.

Free Version: 30 days Free Trial

Pricing: $16/month

Looking for productivity? Here are 10 unique AI tools you should know about!

Large Language Models (LLMs) vs AI Tools: What’s the Difference?

While LLMs are a specialized subset of generative AI, not all generative AI tools are built on LLM frameworks. Generative AI encompasses a broader range of AI technologies capable of creating original content in various forms, be it text, images, music, or beyond. These tools rely on underlying AI models, including LLMs, to generate this content.

LLMs, on the other hand, are specifically designed for language-based tasks. They utilize deep learning and neural networks to excel in understanding, interpreting, and generating human-like text. Their focus is primarily on language processing, making them adept at tasks like text generation, translation, and question-answering.

The key difference lies in their scope and application: Generative AI is a broad category for any AI that creates original content across multiple domains, whereas LLMs are a focused type of generative AI specializing in language-related tasks. This distinction is crucial for understanding their respective roles and capabilities within the AI landscape.

David Watkins, Director of Product Management at Ethos —

At EthOS, our experience with integrating Al into our platform has been transformative. Leveraging IBM Watson sentiment and tone analysis, we can quickly collect customer sentiment and emotions on new website designs, in-home product testing, and many other qualitative research studies.

13. Try Cody, Simplify Business!

Cody is an accessible, no-code solution for creating chatbots using OpenAI’s advanced GPT models, specifically 3.5 turbo and 4. This tool is designed for ease of use, requiring no technical skills, making it suitable for a wide range of users. Simply feed your data into Cody, and it efficiently manages the rest, ensuring a hassle-free experience.

A standout feature of Cody is its independence from specific model versions, allowing users to stay current with the latest LLM updates without retraining their bots. It also incorporates a customizable knowledge base, continuously evolving to enhance its capabilities.

Ideal for prototyping within companies, Cody showcases the potential of GPT models without the complexity of building an AI model from the ground up. While it’s capable of using your company’s data in various formats for personalized model training, it’s recommended to use non-sensitive, publicly available data to maintain privacy and integrity.

For businesses seeking a robust GPT ecosystem, Cody offers enterprise-grade solutions. Its AI API facilitates seamless integration into different applications and services, providing functionalities like bot management, message sending, and conversation tracking.

Moreover, Cody can be integrated with platforms such as Slack, Discord, and Zapier and allows for sharing your bot with others. It offers a range of customization options, including model selection, bot personality, confidence level, and data source reference, enabling you to create a chatbot that fits your specific needs.

Cody’s blend of user-friendliness and customization options makes it an excellent choice for businesses aiming to leverage GPT technology without delving into complex AI model development.

Move on to the easiest AI sign-up ever!

The post 20 Biggest AI Tool and Model Updates in 2023 [With Features] appeared first on Cody - The AI Trained on Your Business.

OpenAI’s ChatGPT Enterprise: Pricing, Benefits, and Security

Oriol Zertuche — Fri, 03 Nov 2023 21:56:46 +0000

OpenAI’s ChatGPT Enterprise, designed for business needs, is making waves. Early adopters like Canva, Carlyle, The Estée Lauder Companies, PwC, and Zapier are reshaping their operations with ChatGPT Enterprise. In this blog, we’ll explore ChatGPT Enterprise, its advantages, pricing and how it can boost business efficiency.

ChatGPT has rapidly gained traction among businesses, with 49% already using it and 30% planning to do so. Moreover, it has proved itself to enhance customer satisfaction by up to 20%.

What is OpenAI’s ChatGPT Enterprise?

ChatGPT Enterprise, designed for businesses, is a powerful AI assistant that enhances organizational productivity as it is trained on your organization’s data. It offers advanced security, unlimited high-speed access to GPT-4o, extended context windows for processing longer inputs, advanced data analysis, and customizable features.

This AI assistant can be tailored to your organization’s needs to help with various tasks while safeguarding company data. ChatGPT Enterprise makes teams more creative, efficient, and effective.

What is the Pricing of ChatGPT Enterprise?

ChatGPT Enterprise offers three pricing tiers:

Free Version

$0 per person/month; includes GPT-3.5 and regular model updates.

Plus Version

$20 per person/month; includes GPT-4o and GPT-4, advanced data analysis, plugins, and early access to beta features.

Enterprise Version

Pricing details are available upon request; ChatGPT enterprise offers everything in Plus, with additional benefits such as unlimited high-speed GPT-4o, longer inputs with 128k token context, unlimited advanced data analysis, internally shareable chat templates, a dedicated admin console, SSO, domain verification, analytics, API credits for custom solutions, and assurance that enterprise data is not used for training.

How Can Businesses Use ChatGPT Enterprise?

Businesses can leverage ChatGPT Enterprise to improve their operations and make the most of their efficiency and creativity. Here’s how:

Craft clear communication to improve interactions with customers, partners, and team members.
Use the code interpreter with ChatGPT Enterprise, to retrieve enterprise-level data.
Helps compose articulate messages and documents and expedite coding tasks.
Automate certain aspects of software development and troubleshooting.
Rapidly explore answers to complex business questions.
Aids businesses in data analysis, market research, and decision-making.
Provides innovative ideas and content suggestions for ideation, content creation, and design.
Finds applications across domains, including customer support, content generation, legal drafting, and more.

A glaring use-case of ChatGPT enterprise is the recent partnership of PwC and Moderna with OpenAI for their organization.

What Are the Benefits of ChatGPT Enterprise?

ChatGPT Enterprise offers a wide range of benefits tailored to meet the diverse needs of organizations and teams, enhancing productivity and efficiency:

Scalable Deployment Tools

ChatGPT Enterprise provides scalable deployment tools. This way, it can grow alongside your organization’s requirements. Whether you have a small team or a large enterprise, you can expand your usage as needed.

Dedicated Admin Console and Easy Member Management

The dedicated admin console makes user management simpler. It also allows for easy bulk member management. You can efficiently control access and permissions to streamline user onboarding and offboarding.

SSO and Domain Verification

ChatGPT Enterprise allows enterprise-level authentication through Single Sign-On (SSO) and domain verification. This adds a layer of security to user access. So, only authorized personnel can use the platform.

Analytics Dashboard

ChatGPT Enterprise includes an analytics dashboard that provides insights into usage. This helps organizations monitor performance, track usage patterns, and make data-driven decisions to improve workflows.

Fast, Uncapped GPT-4o

With ChatGPT Enterprise, you get access to GPT-4o without caps on usage. This means you can utilize the capabilities of advanced AI without restrictions, enhancing your business efficiency. To know more about GPT-4o, read our latest blog on it.

Extended Token Context Windows

ChatGPT Enterprise allows for 128,000 token context windows. It offers four times longer inputs and improved memory. This is particularly beneficial for handling complex tasks and longer conversations.

Shareable Chat Templates

You can collaborate more effectively within your organization by using shareable chat templates. These templates help manage common workflows, ensuring consistency in communication.

Customization

You can tailor ChatGPT to your organization by securely extending its knowledge with your company data. Simply connect the applications you already use to create a fully customized solution for your specific needs.

How Secure Is ChatGPT Enterprise?

ChatGPT Enterprise prioritizes data ownership, control, and security. Here’s how:

Data Ownership and Control

OpenAI does not employ your data from ChatGPT Enterprise or its API Platform for training or other purposes. Your inputs and outputs are under your ownership and control, in compliance with relevant legal requirements. You have the authority to determine the duration for which your data is retained, ensuring data control in ChatGPT Enterprise.

Access Control

ChatGPT Enterprise provides enterprise-level authentication via SAML SSO. It offers fine-grained control over user access and the features available to them. Custom models created within ChatGPT Enterprise are exclusively yours; they are not shared with any other entity.

Security Compliance

OpenAI has undergone auditing for SOC 2 compliance, which attests to its rigorous adherence to security, availability, processing integrity, confidentiality, and privacy standards. Data security is upheld through encryption at rest (using AES-256 encryption) and in transit (utilizing TLS 1.2+). These encryption measures guarantee that your data is protected during storage and transmission.

What Is the Difference Between ChatGPT, GPT-4o and Enterprise?

Both ChatGPT Plus and ChatGPT Enterprise are remarkable AI solutions with advanced capabilities. However, there are subtle differences that set them apart. Here’s what makes ChatGPT 4 different from Enterprise:

Training Data and Feedback

GPT-4o uses human feedback, including user feedback, to improve its behavior. On the other hand, ChatGPT Enterprise does not use organization data for training. It relies solely on its pre-trained model with fine-tuning and RAG (Retrieval Augmented Generation) for fetching data.

Access and Speed

GPT-4o is a large multimodal model (accepting image and text inputs, emitting text outputs) designed for general applications. However, ChatGPT Enterprise offers unlimited, high-speed access to GPT-4o, making it suitable for enterprise-level use.

Context Window

Since, both ChatGPT and ChatGPT enterprise use GPT-4o, they have the same context window of 128,000 tokens.

Intended Users

GPT-4o is not limited to enterprises and can be used by a broader range of users, including individuals, researchers, and developers. However, ChatGPT Enterprise is specifically designed for enterprise use, catering to the needs of businesses and organizations.

Should You Buy ChatGPT Enterprise?

Whether you should buy ChatGPT Enterprise depends on your specific needs and requirements. ChatGPT Enterprise is entering a competitive market, with potential rivals like Microsoft’s Bing Chat Enterprise and Salesforce. The pricing for ChatGPT Enterprise is currently unclear, which is not uncommon for new products and services.

Here are some key considerations:

Assessment of Needs

Thoroughly assess your organization’s needs, processes, workflows, and strategies. It’s crucial to identify the problems or gaps that need to be addressed with a conversational AI solution.

Market Comparison

Research and compare ChatGPT Enterprise with its competitors, such as Microsoft’s Bing Chat Enterprise and Salesforce’s offerings. They should consider the features, capabilities, and pricing of these alternatives to determine which best aligns with your needs.

Budget and Cost

Establish a budget and evaluate whether the cost of ChatGPT Enterprise is justifiable based on the potential benefits and ROI it can provide.

Implementation and Integration

Consider the ease of integration with existing systems and workflows. How well does ChatGPT Enterprise fit into your organization’s technology ecosystem?

Support and Maintenance

Evaluate the level of support and maintenance provided by OpenAI or other vendors. A reliable support system can be essential to ensure that the technology functions effectively and addresses any issues promptly.

Scalability and Customization

Determine whether ChatGPT Enterprise can scale with your organization’s growth and be customized to meet specific requirements.

Data Security and Compliance

Consider the data security and compliance aspects, especially in a regulated industry. Ensure that the solution meets your data protection and privacy requirements. Your decision to buy ChatGPT Enterprise or any similar technology should be based on a thorough evaluation of your organization’s unique needs and the capabilities of the product in question.

At the time of ChatGPT Enterprise’s release, OpenAI stated:

“We believe AI can assist and elevate every aspect of our working lives and make teams more creative and productive. Today marks another step towards an AI assistant for work that helps with any task, is customized for your organization, and that protects your company data.”

ChatGPT Enterprise could change the AI game for businesses thanks to its transformative AI powers. It empowers organizations with advanced data analysis, extended context, and improved security, increasing efficiency while ensuring data protection. This solution signifies the growing role of AI in forward-thinking businesses.

FAQs

Does ChatGPT have an Enterprise Version?

ChatGPT Enterprise is a business-focused AI assistant that boosts productivity with security, high-speed GPT-4 access, extended context, data analysis, and customization. It empowers teams and protects company data.

Is ChatGPT enterprise free?

ChatGPT Enterprise does not have a free plan. ChatGPT provides access to GPT-3.5 and GPT-4o with regular model updates. Enterprise pricing is provided on-request basis.

What are the free alternatives for ChatGPT Enterprise?

Cody AI is one such solution that allows you to train custom ChatGPT on your organization data for absolutely free with access to GPT-3.5. With Cody, businesses can harness the power of AI to create a personalized and intelligent assistant that caters specifically to their needs, making it a promising addition to the world of AI-driven business solutions.

The post OpenAI’s ChatGPT Enterprise: Pricing, Benefits, and Security appeared first on Cody - The AI Trained on Your Business.

How to Set Up an AI Knowledge Base in 2024?

Oriol Zertuche — Thu, 02 Nov 2023 20:07:48 +0000

In an evolving customer service arena, where 78% of industry leaders are channeling increased investments into self-service solutions such as self-help portals and AI-powered chatbot assistant capabilities, the importance of integrating an AI knowledge base software into your customer support ecosystem cannot be ignored.

Using AI for business has the power to totally transform how customers interact with it, giving them spot-on information exactly when they need it. However, to make the most of it, you must carefully plan and manage consistently. This blog provides strategies to create an adequate AI knowledge base to improve your customer service experience.

What is an AI Knowledge Base?

An AI Knowledge Base is a digital repository of information and data organized, managed, and made accessible through artificial intelligence (AI) technologies. It is a centralized resource for storing, retrieving, and sharing knowledge, typically in a structured and searchable format.

AI is used to enhance the functionality of the knowledge base by enabling intelligent search, content recommendations, natural language processing, and other features that improve the user experience.

Here are some key characteristics and components of an AI Knowledge Base:

1. Information Repository

It contains a wide range of content, including articles, documents, FAQs, product information, instructional materials, and any other data an organization or platform wishes to make available to users.

2. Structured Organization

The content in the knowledge base is typically organized in a structured manner, using categories, topics, tags, and hierarchies to help users navigate and find relevant information efficiently.

3. AI-Powered Search

AI technologies, such as natural language processing, are used to enhance search capabilities. Users can enter queries in natural language, and the AI system can understand and provide relevant search results.

4. Content Recommendations

AI can analyze user behavior and preferences to offer personalized content recommendations, suggesting articles or resources likely to interest the user.

5. Chatbots and Virtual Assistants

Many AI knowledge bases integrate chatbots or virtual assistants to provide real-time support and answer user queries. These chatbots can use AI to understand and respond to user inquiries effectively.

6. Natural Language Processing (NLP)

NLP is used to understand and process human language, making it easier for users to interact with the knowledge base and obtain relevant information.

7. Sentiment Analysis

Some AI knowledge bases incorporate sentiment analysis to gauge user satisfaction and identify areas where improvements are needed.

8. Content Tagging and Classification

AI can automatically tag and categorize content, making it easier to manage and search for information.

9. Analytics and Reporting

The knowledge base often includes tools for tracking user engagement, such as page views, search queries, and user feedback. This data is valuable for improving the knowledge base’s content and structure.

10. Access Control and Security

AI knowledge bases may include access control features to restrict certain content to authorized users, and they implement security measures to protect sensitive information.

AI Knowledge Bases are widely used in various domains, including customer support, internal company knowledge management, e-learning platforms, and online documentation. They help organizations provide timely and accurate information to their users, reduce support costs, and improve the overall user experience by leveraging AI’s capabilities to enhance knowledge access and retrieval.

What is the Checklist to Set Up a Successful AI Knowledge Base Software?

Setting up an AI knowledge base involves organizing and storing information in a structured and accessible manner and using artificial intelligence to retrieve and present that information effectively. Here is the complete checklist to set up an AI knowledge base:

Define Your Goals and Objectives

Start by clarifying your goals and objectives for the knowledge base.

What information do you want to store and retrieve?
What is the purpose of the knowledge base?
Who is the intended audience?

Choose a Knowledge Base Platform

Select a platform or software to host your knowledge base. Various options include custom-built solutions, content management systems (CMS), and knowledge base software like Confluence, Zendesk, or KnowledgeOwl.

Organize and Structure Content

Categorize and structure your content logically. Create a taxonomy or hierarchy of topics, categories, and subcategories. This will make it easier for users to find information.

Create and Input Content

Populate the knowledge base with relevant content. This content can include articles, FAQs, documents, videos, and any other valuable information to your audience.

Implement Search and Navigation Features

Implement a powerful search engine that can quickly retrieve relevant content. Additionally, provide clear navigation menus and links to help users browse the knowledge base easily.

Implement AI Technology

Integrate AI technologies to enhance the knowledge base’s functionality. Here are some AI capabilities to consider:

Natural Language Processing (NLP)

NLP can help with search, query understanding, and content recommendations.

Chatbots and Virtual Assistants

Deploy chatbots for user assistance and answering common questions.

Machine Learning for Content Recommendations

Use machine learning algorithms to suggest relevant articles based on user behavior.

Content Tagging and Classification

Automatically tag and categorize content using AI algorithms.

Sentiment Analysis

Analyze user feedback and comments to gauge user satisfaction and identify areas for improvement.

User-Friendly Design

Ensure a user-friendly and responsive design for your knowledge base. It should be accessible on various devices and screen sizes.

Regularly Update and Maintain:

Keep your knowledge base current by regularly adding new content, revising existing content, and retiring outdated information.

User Feedback and Analytics

Gather user feedback and analyze analytics to understand how users interact with the knowledge base. Use this data to make improvements.

Training and Monitoring

Continuously train and monitor AI models to improve their accuracy and performance, especially in the case of NLP and chatbots.

Security and Access Control

Ensure that sensitive information is properly secured and access to certain content is restricted to authorized users.

Promote and Educate

Promote the knowledge base within your organization or to your target audience. Provide training and resources to help users maximize the knowledge base.

Scale and Evolve

As your organization grows and user needs change, be prepared to scale and evolve your AI knowledge base accordingly.

Setting up an AI knowledge base can be a complex task, but it can provide substantial benefits regarding information accessibility, user support, and productivity. Remember that the specific implementation may vary based on your organization’s unique requirements and resources.

How to Produce High-Quality Content for AI Knowledge Base Software?

You can produce high-quality content by analyzing your audience’s needs and behavior, being organized with your content, and leveraging visual assistance. Creating quality content is the basis of a successful AI knowledge base. When your content is well-structured, relevant, and packed with helpful info, your customer support game reaches new heights. In this section, let’s find out how to create content that’s simply top-notch.

Know Your Audience Well

Start by pinpointing your customers’ needs and the challenges they face. Design your content to be the solution they’re looking for. Understanding your audience is the key to creating content that genuinely connects.

When dealing with all the technical stuff, spare your customers from drowning in jargon. Keep it simple. And if you have to drop a complex term, break it down in plain language. Your goal is to make things easy to understand.

For example, you’re running a tech support AI knowledge base. If your audience includes both tech-savvy individuals and those who aren’t so tech-savvy, you’ll want to strike a balance. When explaining something like “RAM,” you could say:

“RAM, which stands for Random Access Memory, is like your computer’s short-term memory. It helps your computer run smoothly by temporarily storing information while you use it. Think of it as a quick-access storage space, and when you turn off your computer, it gets wiped clean.”

This way, you’re simplifying the technical term “RAM” and making it more understandable for all types of users.

Be Clear and Organized

Think clarity and brevity when creating content for your AI knowledge base. Utilize bullet points and subheadings to improve readability, making it easier for customers to absorb information. Keep in mind lengthy, heavy text can be a turn-off for your audience.

Suppose you’re creating a knowledge base article about troubleshooting common Wi-Fi issues. Instead of writing a long paragraph, you can structure it like this:

Title: Troubleshooting Wi-Fi Connection

Issue 1: Slow Internet

Check the number of devices connected.

Restart your router.

Move closer to the router.

Issue 2: No Wi-Fi Connection

Restart your device.

Verify router power.

Re-enter the Wi-Fi password.

Using bullet points and subheadings this way makes the information much more accessible and less overwhelming for readers.

Incorporate Visual Aids

To make things clearer for your customers, consider adding images, diagrams, or videos. These visual aids are a game-changer for simplifying complex concepts or offering step-by-step instructions. They can significantly improve understanding and improve the overall user experience.

Suppose you want to guide users on how to install software. You could use a step-by-step video that visually walks them through the process, making it much easier for them to follow along and complete the installation.

Maintain Updated Content When Setting Up AI Knowledge Base Software

To ensure your knowledge base always serves up accurate and on-point information, keeping it fresh and up-to-date is a must. Stay in the loop about product changes, policy updates, and customer feedback. Regularly go back to your content to ensure it’s spot on. Here are some tips to help you maintain your content effectively:

Pay Attention to Customer Input

Focus on what your customers are saying – their responses, questions, and even complaints. This can help you spot any gaps or issues in your content. Customer feedback reveals areas needing improvement or suggesting new topics to cover. Make the most of your knowledge base system’s internal tools to keep a watchful eye on and even ask for feedback.

Let’s say you’re running an e-commerce website, and you’ve set up an AI knowledge base to handle customer inquiries. By monitoring customer interactions, you notice many users are asking questions about your return policy, but this topic isn’t well-documented in your knowledge base.

This customer feedback highlights a potential gap in your content. To address it, you can create a comprehensive article or FAQ section dedicated to your return policy.

Periodically Check Existing Content

It’s a good practice to regularly review your knowledge base content to confirm its accuracy and relevance. Update and revise it to ensure customers always have the latest information. Some AI tools can even help you spot outdated content, saving your team valuable time.

For instance, if your knowledge base contains information about your company’s products or services, and you’ve recently launched a new version or updated a feature, it’s essential to go back and ensure that the documentation reflects these changes.

Evaluate Content Effectiveness

Keep an eye on content analytics to figure out which articles or topics customers love and which ones might need a little boost. By studying user engagement and interactions, you can get some valuable clues on how to make your content even better. It’s like peeking behind the curtain to understand what your customers really want.

For example, if you notice that a particular article on troubleshooting common tech issues gets many views and positive comments, it’s a clear signal that customers find it helpful.

On the other hand, if you see low engagement with an article about a complex process, it might be a sign that it needs some simplification or additional explanation. Monitoring content analytics is like having a continuous feedback loop with your audience, helping you fine-tune your content for maximum effectiveness.

Meet Cody – Your AI Knowledge Base Software for Business

The heart of customer service lies in the personal touch and empathy that only humans can provide. However, AI can be crucial in creating a robust knowledge base.

An AI knowledge base aims to support customer service agents by handling routine queries, allowing humans to address complex and sensitive issues that require empathy and judgment. This combination of efficiency and personalized care ensures an exceptional customer service experience. Here’s the perfect example:

Click Here to Meet Cody!😉

The post How to Set Up an AI Knowledge Base in 2024? appeared first on Cody - The AI Trained on Your Business.

7 Most Popular HR AI Tools in 2023 [SaaS Version]

Oriol Zertuche — Mon, 30 Oct 2023 17:42:29 +0000

Artificial Intelligence (AI) is rapidly changing the human resource field. With over 73% of companies planning to invest in AI for business recruitment automation and over 85% of HR professionals foreseeing AI’s role in the recruitment process, HR AI tools are extensively driving this change in the SaaS industry.

What are HR AI Tools for SaaS?

HR AI tools are cloud-based SaaS solutions that leverage artificial intelligence (AI) to enhance various aspects of human resources management. These tools and software are designed to streamline HR processes, improve decision-making, and provide data-driven insights to help organizations better manage their workforce.

Which are the Best HR AI Tools for SaaS in 2023?

Here are the top 7 SaaS AI Tools for HR that must be on your bucket list in 2023:

1. Effy AI

Our number one pick is Effy AI. It is a performance assessment and 360-degree feedback tool driven by AI. With ready-to-use templates and AI-generated reports, it offers the quickest method for conducting staff reviews. It works well for businesses that are just beginning to develop review processes and for those that perform reviews irregularly.

Key Benefits

Tools for performance review assistance
AI-produced review summaries using responses
Multiple assessment questionnaires
Tailored navigation menu structure according to roles
Fun emoji stickers and animal avatars

Pricing

Free for up to 10 reviews
$75/month for up to 30 reviews
$100/month for up to 300 reviews
Starts at $10,000 flat price for enterprises

Rating

4.9/5

2. Workable

Workable offers sophisticated AI awareness of your particular search criteria and access to a thorough boolean search of 400+ million profiles. Your job description is reviewed by its AI Recruiter, which then searches for the top existing and passive prospects. Before you publish, you’ll have a list of the leading candidates.

Key Benefits

Make candidate screening with automation smoother
Run ad campaigns for candidates on Facebook and Instagram
Utilize AI algorithms to find the best passive candidates
Get real-time analytics for data-driven decisions
Use predictive hiring models with great support

Pricing

Starter: $149/month for up to 50 employees
Standard: starts at $299/month
Premier: starts at $599/month

Rating

4.6/5

3. Paradox AI

Candidates are hired faster than ever thanks to Paradox AI, which automates the tasks your teams don’t have time for. For high-volume recruiting managers and candidates, it offers the feature-rich Conversational ATS, which streamlines and expedites the hiring process.

Key Benefits

Make interview scheduling effortless
Give attractive offers and comprehensive onboarding materials
Manage job offers and start an easy onboarding process for new hires
Make the application process simpler for candidates with text message apps

Key Benefits

Make recruitment with automated job postings to 100+ job boards smoother
Decrease time-to-hire with efficient processes
Stay candidate-centric with chatbot assistant Zia’s communication
Increase productivity with built-in automation for reminders, meetings, and more
Gain real-time insights with configurable Talent Analysis and use machine learning for forecasting

Pricing

15-day free trial available
Forever free plan available
Standard: $25/month
Professional: $50/month
Enterprise: $75/month

Rating

4.4/5

[Checklist] How to Choose the Best HR AI Tools for SaaS Business?

Choosing the best HR AI tools for SaaS involves a thoughtful and systematic selection process. Here are steps to help you make the right choice:

Define Your Needs and Objectives

Clearly define your organization’s HR needs, objectives, and goals. Determine what specific HR processes you want to improve with AI tools.

Budget Considerations

Establish a budget for HR SaaS AI tools. Ensure it aligns with your organization’s financial capabilities.

Scalability

Consider whether the tool can scale with your organization’s growth. Ensure it can accommodate your current and future workforce size and needs.

User-Friendliness

The tool should be user-friendly for both HR professionals and employees. Ensure it has an intuitive interface and provides a positive user experience.

Integration Capabilities

Check if the HR SaaS tool can integrate with your existing systems (e.g., payroll, time tracking, ERP) to facilitate data exchange and reduce redundancy.

Customization

Look for tools that allow customization to adapt to your specific HR processes and policies.

AI Capabilities

Evaluate the AI features and capabilities of the tool. Consider what AI technologies (machine learning, NLP, predictive analytics) it uses and how they can benefit your HR processes.

Data Security and Compliance

Ensure the tool adheres to data security best practices and complies with relevant regulations, especially if you’re dealing with sensitive HR data.

Vendor Reputation

Research the vendor’s reputation, customer reviews, and case studies. Ask for references or contact organizations that have used the tool.

Support and Training

Assess the level of customer support and training offered by the vendor. It’s important to have access to assistance when needed.

Trial Period

Whenever possible, take advantage of a trial period or demo to test the tool within your organization. This will give you a firsthand experience of its functionality.

Feedback and Input

Involve HR professionals and other relevant stakeholders in the selection process. Gather their input and feedback to ensure the tool aligns with their needs.

ROI Analysis

Conduct a return on investment (ROI) analysis to determine how the tool will impact your HR processes and whether it justifies the cost.

Long-Term Viability

Consider the vendor’s long-term viability and commitment to product development and updates. You want a tool that will evolve with technology and industry trends.

Contract Terms

Carefully review the contract terms, including subscription duration, pricing structure, and any exit clauses.

Implementation Plan

Discuss the implementation process with the vendor. Ensure there is a well-defined plan for onboarding and training.

Data Migration

If you’re transitioning from existing HR systems, ensure the tool supports smooth data migration.

User Feedback Loop

Plan for regular feedback and evaluation with end-users to continuously optimize the tool’s use and address any concerns or issues.

The Bottomline

In 2023, seven HR AI tools lead the charge, offering innovative workforce management solutions. From performance assessments with Effy AI to talent sourcing with Fetcher AI and employee experience enhancement with Leena AI, these tools are changing HR practices for good, making recruitment a smoother process and providing data-driven insights.

Check here: How Can Cody AI Help Your Business?

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