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.
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.
OpenAI DevDay, a one-day developer conference scheduled for November 6, 2023, in San Francisco, is a game-changer for developers, tech fans, and AI lovers. It’s like a lively meeting where developers from everywhere can come together, learn, and collaborate with the OpenAI team to understand where AI is headed.
We’re looking forward to showing our latest work to enable developers to build new things.
Let’s find out why OpenAI’s first developer conference matters a lot and how it can reshape the future of AI development.
What is OpenAI DevDay?
OpenAI’s DevDay is a highly anticipated developer conference scheduled for November 6, 2023, in San Francisco. This inaugural one-day event will unite hundreds of developers worldwide.
A unique opportunity to engage with OpenAI’s team, DevDay will serve as a platform for developers to get a sneak peek at upcoming tools. In-person attendees can participate in enlightening breakout sessions led by OpenAI’s technical experts. The event promises a day of insights, collaboration, and exploration in the field of artificial intelligence.
What Announcements to Expect from OpenAI DevDay?
OpenAI DevDay is a highly anticipated developer conference. Attendees can anticipate an intellectually stimulating and engaging event. The day will be filled with a diverse range of activities planned to provide valuable insights into artificial intelligence. Here’s what one can expect from the event:
Keynote Speeches
DevDay will feature keynote speeches by prominent AI researchers and experts. These speeches will offer an in-depth exploration of the latest AI business developments. The topics may range from discussions on GPT-4 to the future of AI technology. The event will also discuss ethical challenges and responsibilities associated with AI development and deployment.
Hands-on Workshops
Attendees can participate in hands-on workshops and gain practical experience with cutting-edge AI tools and apps. These workshops will help developers explore how to make the most of AI in various domains.
Live Demos
OpenAI will showcase its latest advancements through live demos in DevDay. Attendees can see AI technologies in action. This way, they can gain a firsthand understanding of their capabilities and possible uses.
Networking Opportunities
DevDay provides a platform for attendees to network with industry leaders, fellow developers, and AI enthusiasts. These connections can lead to collaborations, knowledge exchange, and future opportunities in the field of AI.
Here’s Rowan Cheung, Founder – The Rundown AI, expressing his curiosity and enthusiasm about OpenAI’s DevDay Conference:
I’m going to DevDay and OpenAI just emailed me to make sure they have my ChatGPT-associated email.
This is to keep my account “up-to-date with the latest conference features and announcements”.
OpenAI’s DevDay is designed for developers, tech enthusiasts, and AI specialists. This one-day conference is expected to gather hundreds of developers worldwide to preview new tools, exchange ideas, and participate in breakout sessions.
So, whether you’re a developer looking for insights or a passionate AI advocate, DevDay will surely offer you an enriching experience of the latest advancements in artificial intelligence.
Why is OpenAI DevDay Important for Developers?
OpenAI’s DevDay serves as a platform for developers to take part in the next wave of AI innovation. It pushes the boundaries of what’s possible in AI app development. So, it is an invaluable event for developers:
Gives Access to Advanced Models
OpenAI’s API has been continually updated to include their most advanced models, such as GPT-4, GPT-3.5, DALL·E 3, and Whisper. Developers have access to cutting-edge AI capabilities through a simple API call. Through this event, developers can learn to utilize state-of-the-art AI in their projects without the need for complex implementations.
Promises Extensive User Base
Over 2 million developers currently utilize OpenAI’s AI models for many use cases. This extensive user base proves that OpenAI’s technology is practical and versatile. These traits make the event a valuable resource for developers across different domains.
Invites Global Developer Community
DevDay aims to bring together developers from around the world. It allows them to connect, share ideas, and collaborate with like-minded professionals. Consequently, they can expand their network and exposure to diverse perspectives and experiences.
Provides Deep-Dive Technical Insights
OpenAI’s experienced technical staff will lead breakout sessions in the event. So, the event is expected to offer developers a unique opportunity to delve into the highly technical aspects of AI development and grasp the intricacies of AI implementation.
Focuses on AI Innovation
Unlike conventional tech conferences, DevDay is centered solely on AI innovation. It’s dedicated to providing developers with the tools and knowledge they need to exceed their expectations from AI development. The event also makes newbie developers part of a vibrant AI developer community.
How to Live Stream OpenAI DevDay?
Despite the registrations for in-person attendance at the DevDay conference being closed, you can join the live stream at 10:00 AM PST on November 6, 2023. You can also watch the OpenAI DevDay event live here to catch the latest announcements revealed at the conference:
More Updates Soon on OpenAI’s DevDay Announcements
OpenAI’s DevDay will offer developers access to advanced AI models, a global community, technical insights, and a focus on innovation. The event can empower developers to redefine AI application development and create groundbreaking applications. DevDay will show them how to explore new and exciting areas in AI and discover future innovations.
A beginner’s guide to understanding Cody Terminologies in a simplified manner.
Before you get started with building your own GPT-based bot for your business using Cody, it is essential that you understand the core terminologies so that the flexibility our bot-builder offers does not intimidate you. You do not need to be an AI expert or have prior knowledge in this domain to understand these terminologies, as they will be explained in the most simplified way. Think of this as a beginner’s guide or ‘Cody For Dummies‘.
This blog will not cover setting up Cody or importing data into Cody since we have already posted a few blogs that will help you with the setup. In the upcoming blogs, we will delve deeper into those subjects. Without any further ado, let’s understand the different terminologies you will come across while building your bot.
Personality
Cody offers two ways to define your bot’s personality: Template Mode and Advanced Mode. The personality of your bot establishes the context and behaviour of your bot to ensure it generates helpful responses that align with your expectations and prevent any unforeseen hallucinations.
❓Hallucination refers to the phenomenon where a language model generates responses that may be imaginative, speculative, or not grounded in factual information.
Template Mode
This mode is useful for those businesses who want a plug-and-play solution to building a bot. Our developers have created bot templates catering to different business domains such as Support, Training, HR and Marketing.
Select any domain from the following and Cody will handle the rest. For added flexibility, Cody also provides settings that can be used to customize the personality to some extent.
For eg. If you choose to go ahead with IT Support as your bot personality, you can change your bot’s nickname, and decide how it will be handling unanswerable queries (a default case) and the languages you need the bot to converse in.
This mode is still under development and will be soon getting updated to be able to cater to multiple other business domains with a host of customization features.
Need more flexibility? Don’t worry, we have got you covered with our Advanced Mode.
Advanced Mode
The Advanced Bot Builder gives you the freedom to customize multiple parameters and lets you build the perfect bot that suits your use case. Currently, you can customize the following parameters:
Prompt
Relevance Score
Token Distribution
Persistent Prompt
Reverse Vector Search
Prompt
The prompt will define the personality of your bot. To simplify the prompting process, consider the bot as an employee at your business. Although there is no specific structure for writing a personality prompt, we have prepared a list of parameters for your reference.
Parameter
Example
AI’s Nickname
“You are Cody.”
Job Profile
“You work as an IT Support Engineer at my company.”
Tone
“Maintain a professional and friendly demeanour throughout all interactions, ensuring that users feel comfortable and supported.”
Domain
“Technology, Support, Technology Consultant”
Expertise Level
“Remember to convey a sense of expertise and confidence in your responses.”
Ethical Guidelines
“Do not make up your own responses or use data which does not exist in the training data. Refrain from mentioning ‘unstructured knowledge base’ or file names during the conversation.”
Additional Services (optional)
“Try to promote sales of XYZ wherever possible.”
Default Case (For unanswerable queries)
“In instances where a definitive answer is unavailable, acknowledge your inability to answer and inform the user that you cannot respond.”
A sample prompt:
“You are the waiter at a pizza joint. Maintain a professional and friendly demeanor throughout all interactions, ensuring that users feel comfortable and supported. Remember to convey a sense of expertise and confidence in your responses. Additionally, I encourage you to actively promote our premium pizzas whenever appropriate. Do not refer to any menu sources other than the ones provided in the knowledge base. While recommending pizzas, state their prices and any offers that are applicable for them, too.”
Relevance Score
The Relevance Score reflects the degree of similarity between the user’s query and Cody’s response. Using semantic search, Cody compares the user’s query with the data present in the knowledge base. A higher relevance score will result in a precise answer but will compromise on understanding the overall context of the query and vice versa. In simple words, the relevance score is the degree to which the AI fears making mistakes and taking risks while responding.
Token Distribution
The token is the computational currency for large language models like the GPT family. The query (input statement) asked by the user is broken down into blocks of characters known as ‘tokens’. As AI models are really resource-intensive, in order to address the computational constraints and memory limitations, these models have a certain limit to the input data that can be processed and generated. This limit is the ‘context window’.
Cody uses the GPT family of models and the number of tokens available are limited. The token distribution feature helps in micro-managing the usage of tokens for different purposes.
They are mainly divided into Context, History and Response Generation.
Context: The tokens required for understanding the user query and knowledge base context.
History: The tokens required for adding context to the user query using the chat history.
Response Generation: The tokens required for assessing the coherence, grammar, and semantic validity of the generated text.
For the highest accuracy is important that the context makes up a large portion of the Token Distribution.
Persistent Prompt
By continuously reinforcing the prompt (personality of the bot), you create a form of conversational context and constraint that keeps the AI on track and helps maintain compliance with the desired outcomes. It acts as a reminder for the AI to stay within the predefined boundaries and provide responses that are relevant, accurate, and aligned with your goals.
Reverse Vector Search
Reverse Vector Search is a feature specifically designed for businesses that utilize Cody for employee training purposes. It seamlessly integrates previously generated AI responses with user queries, creating a comprehensive contextual understanding that enhances the quality and relevance of subsequent responses. It is especially valuable when using Cody for step-by-step guides and instructional purposes.
To Wrap It Up
When you have a good grasp of these terminologies, you’ll be able to refine your bot’s responses and make them even more personalized. Stay tuned for upcoming blogs offering further guidance, updates, and additional information to unleash your Cody AI bot’s full potential. For more resources, you can also check out our Help Center and join our Discord community.
The key to staying ahead of the competition in any industry? Efficient and effective information management. Data is the lifeblood of modern businesses and those that master its management and learn how to leverage it to find actionable insights soon find themselves leading the pack. To this end, AI can be the ace up your sleeve this spring, especially in the form of an AI-powered knowledge base. Keep reading to learn why.
A better way to organize data
While it may be a challenging trading environment for many businesses, AI is the answer for those looking to optimize productivity through better information management. It delivers the power of automation (with all its benefits) in a highly practical tool for business. AI knowledge bases are proving to be a boon for streamlining data organization. The old manual ways of storing and retrieving information were time-consuming and prone to error, but with an AI knowledge base a company can centralize their information and make it easy for employees or customers to access it as they require.
Machine learning algorithms, on the level of a chatbot business tool like Cody AI, are able to analyze the content and “understand” the context. That means you can ask Cody to suggest relevant tags and categories and use it to sort data automatically, sparing employees from such a tedious task and allowing them to focus on strategizing instead.
A more efficient way to share the knowledge
The ability to share knowledge quickly and effectively can be a crucial competitive advantage that helps to maximize productivity and minimize errors. Cody’s advanced natural language processing (the same API as ChatGPT) and semantic search make it possible to interact with it as one would with an especially knowledgeable coworker. Ask for information, and the chatbot will respond with an articulate answer and the relevant supporting documentation.
This also makes it easy to bridge siloes between departments and branches. This can ensure sales and marketing teams stay aligned, for instance, or that staff are on the same page about best practices and company policy. Employees gain a vast repository of information at their fingertips, which can be explored with the ease of making a simple request.
More efficient knowledge-sharing has benefits across the board, from boosting employee training and performance to improving customer satisfaction and retention when used as a customer support tool. It also helps to support a collaborative work environment, and statistics from Frost and Sullivan show that effective workplace collaboration can boost business sales by 27%.
A tool to help you make smart decisions
In a world driven by data, every decision can be an informed decision if access to relevant information is readily available. But you won’t need to manually sort through data to extract insights if you have an AI-powered knowledge base to do it for you, saving you untold hours and helping to ensure that you don’t miss a thing.
Cody AI can process large datasets and quickly identify trends, patterns and correlations that the human eye could miss, and it offers real-time analytics and predictive capabilities. That all helps you to make informed decisions that minimize risk and lead to greater productivity.
Research from McKinsey Global Institute has found that data-driven organizations are 23 times more likely to acquire new customers, six times more likely to retain them, and 19 times more likely to be profitable. That powerful advantage can be yours to leverage with a knowledge base chatbot to help you make sense of your data and extract value from it.
Enabling a future-ready business
To be ready for the world of business that will define tomorrow, organizations need to modernize the way they process and manage data. Economic uncertainty lingers this spring and may be here for some time, yet opportunities abound for businesses that are moving forward and capitalizing on the value that new technologies offer.
The digital age is all about access to information, and by streamlining data organization, facilitating knowledge sharing and providing intelligent decision support, you can empower employees to access and leverage information more effectively. So why not see what Cody AI can do for your business with a free trial.
