Author: Om Kamath

Om Kamath

OverflowAI: ChatGPT For Programmers?

ChatGPT for Programmers Cover

Is it really better than ChatGPT?

After announcing a temporary ban on ChatGPT following its launch, StackOverflow has now decided to jump on the GenAI bandwagon with their latest offering, OverflowAI. OverflowAI is not a single product but a collection of multiple GenAI products under one umbrella term. Let’s see if OverflowAI is really a ChatGPT replacement for programmers.

What’s so special about OverflowAI?

Search

To improve and save time in searching for solutions to questions, OverflowAI will aggregate knowledge from various sources to stitch a step-wise solution catered to solving your specific problem. All the resources used to generate the response will be cited with references so that you can validate the answers yourself, and credits will be given to the contributors of the solution.

Follow-up questions can be asked in a chat-like format. This will maintain the context of the original question and add more information onto it, allowing you to spend less time on structuring the question and ask a series of questions that are linked to one another.

Draft

“AI isn’t replacing humans anytime soon, but it can help you draft a question to post to our community” – Prashanth Chandrasekar, CEO @ StackOverflow

There have been instances where most questions are not solved or ignored, purely due to the lack of structure or redundancy of information within the question. OverflowAI can help you draft better questions that can be posted on the StackOverflow community, which can then be answered by domain experts.

The same feature is used when OverflowAI is unable to answer a particular question. Instead of hallucinating answers, it will simply prompt the user to redirect the question to the community and also provide the user with a well-drafted question.

Summarize

If you are a developer, you definitely know the pain behind reading and skimming through multiple responses and documentation to find a solution to one simple problem. OverflowAI, with its GenAI solution, summarizes multiple responses and discards redundant or less useful responses to provide you with a clean and well-structured summary of the solution to your problem.

These attributed and trusted answers can be refined based on coding ability, length, and other knowledge bases such as GitHub. With StackOverflow for Teams, you can also refer to solutions provided by colleagues from your enterprise by training OverflowAI on your repos.

Plugins

“One of the challenges we hear from developers is minimizing disruption and context switching while coding” – Prashanth Chandrasekar, CEO @ StackOverflow

The plugin for Visual Studio Code is designed to act like a pair-programmer, helping you improve your programming efficiency by providing you with validated and attributed content from public and private StackOverflow teams. This extension imports verified content from your private Stack Overflow for Teams instance and the public platform to give your developers a personalized summary of how to solve their issues quickly and effectively, allowing them to delve deeper where necessary and then document new insights and solutions.

Slack Integration

Since most companies rely on Slack as their primary medium of communication now, the Slack Integration for StackOverflow will make information accessible to everyone easily, and solutions can be found collaboratively on channels. All teams can interact with the resources and knowledge base without any human assistance.

How is it different from ChatGPT?

With the myriad of LLMs currently out there, not all of them can stand out based on their LLM capabilities. ChatGPT is a tool that is created to showcase the power of GPT models in everyday usage. Tools like OverflowAI are specialized to be used for specific use-cases, in this case, software development and maintainability. Yes, you can use ChatGPT to get most of your work done, but specialized tools help in reducing your workload by making the entire process a lot more seamless and robust.

If you are looking for a tool like OverflowAI but for your business and be trained on your business documentation, let us introduce you to Cody. Much like OverflowAI, Cody can be trained on your business data, team processes, and clients, using your unique knowledge base.

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.

To try OverflowAI, you will need to register on StackOverflow Labs as it is still in the experimental phase.

LLaMA 2: Meta’s Open Source AI Model

Is the newest LLM in town worth the hype?

A couple of days ago, Meta released its latest version of LLM called Llama 2 in collaboration with Microsoft. If you have been following the LLM hype, you might have already heard about it or even read about its new features. To simplify things, we will list down four reasons why Llama 2 is generating so much hype and how it compares with some of the best LLMs.

Free for Research and Commercial Use

One significant reason that has caught people’s interest in Llama 2 is that Meta made the entire model free for almost everyone, except for some big enterprises that may have certain conditions. This move opens up exciting opportunities for individuals thinking of starting their own businesses or venturing into the world of Generative AI. Now is the perfect time to dive into the waters of AI, especially with a language model of this caliber being freely accessible. While there were already multiple open-source models available, none of them came from a company of Meta’s stature and could serve as direct competitors to GPT.

“There have been public releases of pretrained LLMs (such as BLOOM (Scao et al., 2022), LLaMa-1 (Touvron et al., 2023), and Falcon (Penedo et al., 2023)) that match the performance of closed pretrained competitors like GPT-3 (Brown et al., 2020) and Chinchilla (Hoffmann et al., 2022), but none of these models are suitable substitutes for closed “product” LLMs, such as ChatGPT, BARD, and Claude.” — Meta Research Paper

Safety

Based on the reports published in the Meta research paper, Llama 2 has demonstrated superior performance compared to other open-source models in the helpfulness and safety benchmark. It has even outperformed ChatGPT (7b, 13b, 70b models) in these aspects. However, it is important to note that the research paper acknowledges the possibility of biased data favoring Llama 2, which should be taken into consideration while interpreting the results. Nevertheless, even if Llama 2 comes close to the ChatGPT benchmark, it deserves commendation.

Meta's open source Llama model violation comparison

One of the most significant factors contributing to the safety of Llama 2 is its data privacy. Unlike some models, Llama 2 does not require sending your data to an external server, such as OpenAI, to fetch responses. This unique attribute makes the model particularly valuable for critical and sensitive use-cases, as it helps safeguard users’ data and maintain their privacy. Users can run the model on private servers with their data being contained within their infrastructure.

Open Source

The most popular LLMs currently in use operate as black boxes, with users having limited insight into their functioning. In contrast, open-source models provide a transparent approach, allowing users to understand their inner workings. This transparency instills confidence and assurance when using such models, despite the challenges they may face, such as generating spam or disinformation.

Additionally, the open-source nature of these models encourages collaborative efforts, leading to continuous improvement and development in the field of LLMs. As a result, open-source models play a crucial role in driving advancements in the world of language models.

“And we believe it’s safer. Opening access to today’s AI models means a generation of developers and researchers can stress test them, identifying and solving problems fast, as a community. By seeing how these tools are used by others, our own teams can learn from them, improve those tools, and fix vulnerabilities.” — Meta Website

Although Llama 2 is openly licensed, Meta has still not disclosed the data it has been trained on, which still sticks out in terms of data privacy of Meta users. Meta says it “made an effort to remove data from certain sites known to contain a high volume of personal information about private individuals” in the Llama 2 research paper, but it did not list what those sites are.

Performance

Llama 2 is available in four different weights: 7B, 13B, 34B, and 70B. The weight represents the number of parameters the model is trained on. Generally, larger parameter sizes result in more accurate and reliable responses, but they also require greater computational resources. To improve the human-like characteristics of the model, Llama 2 undergoes fine-tuning using instruction-tuning and the RLHF (Reinforcement Learning with Human Feedback) method which is also used by GPT.

While the 70B parameter size is substantial, it still falls short compared to GPT-3.5, which has 175B parameter-size. As a result, Llama 2’s performance may not match that of GPT-3.5, but benchmark tests indicate a close competition even with its smaller parameter size. Despite this difference, Llama 2 outperforms all existing open-source models currently available.

“RLHF is a model training procedure that is applied to a fine-tuned language model to further align model behavior with human preferences and instruction following. We collect data that represents empirically sampled human preferences, whereby human annotators select which of two model outputs they prefer. This human feedback is subsequently used to train a reward model, which learns patterns in the preferences of the human annotators and can then automate preference decisions.” — Meta Research Paper

 

Conclusion

There is indeed a multitude of open-source models emerging, and with the release of Llama 2, the possibilities seem limitless. While it may take some time for these open-source models to directly compete with something as advanced as GPT-4, the excitement lies in getting a model that comes close to the capabilities of GPT-3.5. This progress in itself is truly remarkable.

Looking ahead, as LLM training becomes more efficient, the potential for having a personalized ChatGPT, fine-tuned with your data on your local device, becomes a tantalizing prospect. One platform that offers such capabilities is Cody, an intelligent AI assistant tailored to support businesses in various aspects. Much like ChatGPT, Cody can be trained on your business data, team, processes, and clients, using your unique knowledge base.

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.

Click here to read the Meta Research Paper on Llama 2. Try Llama 2 here.

Top 10 AI Tools To Boost Your Productivity

Artificial intelligence (AI) tools have become increasingly popular in improving productivity by automating tasks, reducing human error, and saving time and resources. These tools leverage AI algorithms to assist with various aspects of work, from generating content to automating processes. In this article, we will explore the top 10 AI tools that can significantly enhance your productivity.

FlowriteTop 10 AI tools that can enhance your productivity-1

Flowrite is a tool for automating email communications powered by AI technology. Users are able to provide some brief written instructions about the contents and objective of the message, and Flowrite will automatically create a professional email in a matter of seconds

Features of Flowrite:

  1. AI Email Assistant: Flowrite is an AI email assistant that focuses on helping you reduce writing time and create better emails.
  2. Chrome Extension: Flowrite is a Chrome extension that attaches an AI writer next to your inbox for convenient use.
  3. Ready-to-Send Emails: Flowrite turns short instructions into ready-to-send emails, making it easier to compose professional emails quickly.
  4. Templates and Inspiration: Flowrite provides email templates and inspiration to help users write formal emails with confidence.
  5. Affordable Pricing: Flowrite offers a 30-day free plan and affordable pricing options for continued use.

Beautiful.aiTop 10 AI tools that can enhance your productivity-2

Beautiful.ai is a web-based presentation tool that uses artificial intelligence to design professional and engaging slideshows in minutes.

Features of Beautiful.ai:

  1. AI-Powered Design: Beautiful.ai uses AI algorithms to automatically adjust the layout, colors, fonts, and animations of your slides to make them look beautiful. This feature can save time and effort for students who need to create visually appealing presentations quickly.
  2. Smart Slide Templates: Beautiful.ai offers a range of customizable slide templates that can be adapted to different presentation needs. These templates are designed to be flexible and versatile, allowing users to add or remove elements as needed.
  3. DesignerBot: DesignerBot is an AI-powered tool that can assist users in designing slides, brainstorming ideas, and generating text. It can help students overcome writer’s block, generate creative ideas, and improve the overall quality of their presentations.
  4. Collaboration and Sharing: Beautiful.ai allows users to collaborate on presentations with peers or colleagues in real-time. It also offers sharing options that allow users to share their presentations via email, social media, or embed codes.
  5. Education Plan: Beautiful.ai offers a free annual Pro subscription for students who verify their .edu account. This plan provides access to all the features of Beautiful.ai, including AI-powered design, Smart Slide templates, and DesignerBot.

HeyGenTop 10 AI tools that can enhance your productivity-3

Heygen is an AI Video Generator based on the Surreal Engine. It is an innovative video platform that harnesses the power of generative AI to streamline your video creation process. With HeyGen, you can create an AI spokesperson video in minutes for corporate training, online learning, explainer videos, e-commerce campaign and much more!

Features of HeyGen:

  1. Languages: 40+ languages in 300+ voices
  2. Avatars: 120+ diverse human avatars
  3. Templates: 300+ pre-made customizable video templates
  4. Assets: Free-royalty music, graphic, and video assets
  5. Face Swap: Upload your photo and swap your face onto the AI avatar
  6. Talking photo: Upload your photo, type the text, and bring it to life
  7. Amazon URL to video: Create a video from Amazon’s url with just one click
  8. Captions and translations: Auto captions and auto translations

Notion AITop 10 AI tools that can enhance your productivity-4

Notion AI is an AI-powered writing assistant that can help users write, brainstorm, edit, summarize, and more. It is designed to augment users’ thinking and help them save time or spend it more wisely. Notion AI is available to all users and can be prompted using the space bar, highlighting text and selecting “Ask AI”, or via slash commands.

Features of Notion AI:

  1. Summarization and Analysis: Notion AI can summarize important and actionable information from messy notes, making it easier for users to grasp the main points and key insights of the material. This feature can be particularly helpful for students who need to review large amounts of information in a short amount of time.
  2. Editing and Translation: Notion AI can act as a hawk-eyed editor, catching mistakes in spelling, grammar, or even translation, to help ensure writing is accurate and actionable. This feature can be useful for students who need to improve their writing skills or for professionals who need to communicate effectively with a global audience.
  3. Personalization: Notion AI can be customized to meet individual needs and preferences. It can be used to generate personalized improvement plans, respond to questions from students, and offer specific comments. This feature can help students receive personalized feedback and improve their learning outcomes.
  4. Integration and Collaboration: Notion AI can be integrated with other tools and platforms, making it easier to streamline workflows and collaborate with peers or colleagues. This can be beneficial for students working on group projects or professionals collaborating on reports or presentations.
  5. Writing Assistance: Notion AI offers AI-powered features for text generation, including paraphrasing, summarizing, and prompts. These tools can assist users in improving their writing skills and generating high-quality content.

Fireflies AITop 10 AI tools that can enhance your productivity-5

Fireflies.ai is an AI-powered meeting assistant that can help users transcribe, summarize, search, and analyze voice conversations.

Features of Fireflies.ai:

  1. Meeting Transcription: Fireflies.ai can automatically record and transcribe meetings across several video-conferencing apps, dialers, and audio files. Users can easily invite Fireflies.ai Notetaker to meetings on their calendar, and Fireflies.ai captures video + audio, and generates transcripts in minutes. Integrates with apps like Google Meet, Zoom, Teams Webex, Ringcentral, Aircall and other platforms.
  2. Collaboration and Sharing: Fireflies.ai allows users to collaborate with their co-workers and share important parts of calls into shareable soundbite snippets that they can share straight from their dashboard. Fireflies.ai takes an integration-first approach to all the collaboration platforms out there.
  3. Self-Updating Knowledge Base: Fireflies.ai creates a self-updating knowledge base from all voice conversations, and users can easily organize meeting recaps by department and make information quickly discoverable. Users can set custom privacy controls to ensure only the meeting information that they want is visible to appropriate team members.
  4. Advanced AI Technology: Fireflies.ai uses advanced AI technology to analyze and understand spoken language patterns and accents and then convert them into text. This feature can be particularly helpful for users who need to transcribe meetings accurately and efficiently.

Perplexity AITop 10 AI tools that can enhance your productivity-6

Perplexity AI is an AI-powered conversational search engine that can help users find information on a wide range of topics quickly. It is designed to provide suggestions and sources in response to user queries, and its founders claim that it is more accurate than other similar tools.

Features of Perplexity AI:

  1. AI-Powered Search: Perplexity AI uses AI algorithms to provide accurate and relevant search results to users. It can search the web for information on a wide range of topics and provide sources and citations to support the answers it provides.
  2. Customizable: Perplexity AI can be customized to meet individual needs and preferences. It can be used to generate personalized improvement plans, respond to questions, and offer specific comments. This feature can help users receive personalized feedback and improve their learning outcomes.
  3. Easy to Use: Perplexity AI has an intuitive user interface that can be accessed through its website or mobile app. Users can simply type their question into the search bar and press Enter to get answers.
  4. Reliable: Perplexity AI’s answers are always supported by sources and citations, which users can easily click to verify the answers it provides. This feature ensures that users can trust the information they receive from Perplexity AI.

Cody AITop 10 AI tools that can enhance your productivity-7

Cody AI is an intelligent AI assistant designed to support businesses in various aspects. It is an intelligent AI assistant designed to support businesses in various aspects. It is like ChatGPT but with the added benefit of being able to train it on your business, your team, your processes, and your clients using your own knowledge base.

Features of Cody AI:

  1. Instant Answers To Your Business Questions: Cody analyzes your company’s accumulated documents and acts as an expert on your company processes. It provides quick and accurate answers to your business-related queries, saving you time and effort.
  2. Upload Any Data & Build Your Knowledge Base: With Cody, you can securely upload various types of documents such as PowerPoints, PDFs, or crawl an entire website. Cody uses this information to customize its responses and provide intelligent answers based on your database.
  3. Building Bots: Cody AI allows you to create powerful and customized AI bots for different use cases. You can follow step-by-step instructions and expert advice to build bots tailored to your specific business needs.
  4. API Integration: Cody AI provides an API that allows you to integrate Cody into your applications and services. You can access a list of bots, manage conversations, and send messages using the intuitive API endpoints.

Headshot AI StudioTool 8

Headshot AI Studio is an AI-powered platform that generates professional headshots for personal and professional use. The platform uses artificial intelligence to create digital portraits that resemble real photographs. The AI algorithm creates a model that tries to recreate an individual’s face in digital art with photorealistic features. Headshot AI Studio offers a range of styles in their AI-generated headshots, and their goal is to provide a solution that delivers outstanding headshots in a convenient and cost-effective manner, tailored to meet your needs and preferences.

Features of Headshot AI:

  1. AI-Generated Professional Headshots: This platform utilizes artificial intelligence to produce realistic digital portraits suitable for both personal and professional use.
  2. Diverse Style Options: The AI-powered system offers a wide range of styles for the generated headshots, allowing users to find the perfect match for their preferences.
  3. Tailored Convenience and Affordability: The solution provides outstanding headshots that are customized to individual needs and preferences, all while being delivered conveniently and cost-effectively.
  4. Studio Photography Expertise: With a strong background in studio photography, the platform understands the specific preferences and expectations of customers when it comes to high-quality headshots.
  5. Advanced Editing and Customization: Users have access to advanced editing tools and customization options, enabling them to fine-tune the headshots according to their unique requirements.
  6. Specific Attributes Generation: The AI-powered platform can create headshots with specific attributes as needed, ensuring that users get precisely the appearance they desire.

Surfer SEOTool 9

Surfer AI is an AI-powered content writing tool that makes creating SEO-friendly content easier and faster. It uses artificial intelligence to perform competitive research, structure your article, and produce it within minutes – all without compromising accuracy or readability.

Features of Sufer SEO:

  1. On-page optimization: Surfer SEO analyzes your website and provides you with a list of recommendations to optimize your pages for search engines.
  2. Content editor: Surfer SEO’s content editor helps you write optimized content that ranks well in search engine results.
  3. Keyword research: Surfer SEO’s keyword research tool helps you find the best keywords to target for your website.
  4. SERP analyzer: Surfer SEO’s SERP analyzer tool helps you analyze the top-ranking pages for your target keyword and provides you with insights on how to outrank them.
  5. Audit tool: Surfer SEO’s audit tool helps you identify technical issues on your website that may be affecting your search engine rankings.

Phind

Phind is a search engine designed to cater to developers and technical questions. It differs from typical AI assistants as it offers direct and comprehensive answers to user queries. Powered by large AI language models, Phind pulls information from the internet, ensuring its responses are up-to-date and relevant. The search engine intelligently generates answers, including relevant code snippets, by aggregating information from multiple sources. This approach guarantees accuracy and depth in its explanations.

Features of Phind:

  1. Customize your Search Results using Filters: You can artificially change how results are ranked by adding domain names and keywords. If you have a rule with the domain “github.com“, phind will apply it to all github.com results.
  2. Bang Search Shortcuts: You can easily search on different sites by adding bang shortcuts to your query.
  3. Mobile App: Phind offers progressive web app support. You can add phind to your home screen and use it as a native app.
  4. Powered by large AI language models: Unlike some other AI assistants, Phind pulls information from the internet and is always up to date. It’s smart enough to generate answers based on information from multiple sources.

The Code Interpreter: A New Leap for ChatGPT 

How ChatGPT's Code Interpreter is Taking AI to the Next Level

How ChatGPT’s Code Interpreter is Taking AI to the Next Level

Just when the buzz around ChatGPT seemed to be simmering down, OpenAI rekindled the excitement by unveiling a revolutionary new feature. This enhancement has added a new dimension to the capabilities of AI, reaffirming the boundless potential of this technology.

Previously, ChatGPT’s abilities were mainly confined to understanding and providing text including code. This capability, while impressive, was limited in its scope. It could help users with code syntax, assist in debugging, and even provide snippets of code to address certain tasks. However, it fell short of executing the code blocks to provide final results. Essentially, it was like a highly intelligent code editor, but not quite a full-fledged programmer.

With the advent of the new feature, the Code Interpreter, ChatGPT is now capable of more than just understanding code. It can comprehend natural language instructions, convert these instructions into code, execute the code, and respond with the final results.

How Code Interpreter is Changing the Game for Programming

OpenAI’s latest addition, the Code Interpreter feature, has recently been introduced to the ChatGPT universe (precisely, within the GPT-4 model). This feature permits live execution of Python code within a sandboxed Python environment. It might seem like a functionality tailor-made for programmers, but in reality, it’s a versatile tool that can assist a broad spectrum of users in accomplishing various tasks.

The Code Interpreter is far more than just an embedded tool in the chat interface for code execution. It stands as a multi-purpose facility, enabling users to test code snippets, debug, and even enrich their journey of learning to code. The execution happens right within the ChatGPT’s sandbox environment. Moreover, the Code Interpreter can be an effective tool for automating tasks and integrating with other APIs.

Arguably, the most prominent advantage of the Code Interpreter feature lies in its potential to enhance productivity and conserve time. Users can rapidly test and debug their code without the hassle of juggling between different software or tools. This becomes particularly beneficial for developers engaged in intricate projects that necessitate frequent testing and iterations. By eradicating the need for tool-switching, the Code Interpreter indeed helps developers to capitalize on their time, thereby boosting their productivity.

From Theory to Practice: The Real-world Applications of Code Interpreter

The Code Interpreter in ChatGPT has several use cases. Here are some examples:

  1. Data Analysis: The Code Interpreter revolutionizes data analysis by allowing you to write prompts in plain and simple language. This user-friendly approach makes data analysis an effortless task, even for those without programming expertise. Its versatility stretches from segmenting customers and analyzing stocks and cryptocurrencies, to converting your data into heat maps.
  2. Automated Quantitative Analyses: Ingeniously, the Code Interpreter is capable of automating intricate quantitative analyses, merging and cleansing data, and reasoning about data in a human-like fashion. This powerful feature makes it an indispensable tool for task automation and code operations.
  3. Chart Generation: The Code Interpreter stands out for its ability to create professional-looking graphs and charts without the need for any programming knowledge. This proves invaluable for visualizing data and presenting it in a succinct and clear manner.
  4. Python Libraries: Another remarkable feature of the Code Interpreter is its capability to import and utilize a variety of Python libraries, further enhancing your automation tasks. This provision empowers you to leverage the functionality of popular libraries for data analysis, machine learning, and more.

By incorporating the Code Interpreter in ChatGPT, you’re not only streamlining your automation tasks but also performing data analysis and code execution directly within the ChatGPT interface. It stands tall as a convenient and powerful tool for automating tasks and working with code.

Steps to Enable the Code Interpreter

Let us embark on the exciting journey of unlocking the newest feature of ChatGPT, the Code Interpreter. This groundbreaking innovation is not only revolutionizing the AI landscape but also making it more accessible and easy to use. Here’s a step-by-step guide to enable this fantastic feature.

Step 1: Accessing the Feature

Upgrade to ChatGPT Plus by selecting Upgrade to ChatGPT Plus. Initiating the process is as simple as clicking on the ‘Settings’ option in your ChatGPT interface. Look for the ‘Beta Features’ tab to explore the treasure trove of functionalities offered by ChatGPT.

Step 2: Enabling the Code Interpreter

Within the ‘Beta Features’, you will spot the ‘Code Interpreter’ option. Simply click on the checkbox next to it to enable this feature. Remember, great power comes with great responsibility. Make sure to use it wisely!

Step 3: Confirm and Apply

After enabling the ‘Code Interpreter’, make sure to save your changes. Click on ‘Apply’ to confirm your changes, and voila! You’ve successfully enabled the Code Interpreter, ready to experience the next level of AI.

Using Documents with GPT

Well, what if you don’t want GPT to code for you and instead train it on your data? Meet Cody, your personalized AI that acts as a ChatGPT tailored for your business. Cody is an intelligent AI assistant specifically designed for businesses. It can be trained on your own knowledge base, including your company processes, team information, and client data. Cody can support your team by answering questions, providing creative assistance, troubleshooting issues, and brainstorming ideas. Its capabilities go beyond keyword searches and regurgitated answers, allowing for more personalized and context-aware interactions. Cody can also integrate with your favorite tools and provide instant answers to your business questions by analyzing accumulated documents.

Want to understand more about Cody, or perhaps you need some assistance? We’ve got a variety of resources to help you get the most out of this innovative platform. Join our Discord community to engage with other Cody users and our expert team, or delve deeper into our capabilities on our Blog. And if you need personalized help, our dedicated support team is always ready to assist. Visit our Help Center for FAQs or to submit a support request. Discover more about us, and how Cody is redefining the boundaries of AI, on our Website.

Your Data is Safe with Us

Our commitment to data security and privacy.

ChatGPT has become synonymous with Artificial Intelligence, with even those previously unfamiliar with AI now gaining knowledge about it. Its popularity has soared, leading businesses and individuals to seek AI bots similar to ChatGPT but tailored to their own data. At Cody AI, our aim is to simplify and streamline this process, eliminating the need to delve into the complex technicalities of AI while staying up-to-date with the latest innovations.

One significant concern among individuals and businesses using AI for their custom use-cases is the integrity and security of their data. Building language models like GPT necessitates the use of extensive training datasets, which may raise valid concerns about data privacy. At Cody AI, we understand and respect these concerns, and we prioritize the protection of your data and privacy.

To understand how Cody ensures the security of your data throughout the process, let’s break down the journey into three sections: Documents, Embeddings, and Model.

Documents

Cody utilizes the secure and private Amazon Simple Storage Service (S3) to store your documents in the initial stage before further processing. S3 ensures encryption of all object uploads to all buckets, maintaining compliance with various programs like PCI-DSS, HIPAA/HITECH, FedRAMP, EU Data Protection Directive, and FISMA. This ensures that your data remains protected and compliant with regulatory requirements. Documents uploaded to Cody follow the SSE-S3 (Server-Side Encryption) protocol, allowing exclusive access to you and your team members, ensuring data confidentiality and privacy.

Embeddings

Embeddings are essentially a representation of your data in the form of vectors (lists of numbers). Since the data provided to Cody is unstructured, converting it into embeddings allows for faster retrievals and semantic search. To learn more about how Cody generates responses from your documents, check out this article.

For storing these vectors or embeddings, Cody relies on Pinecone, a secure vector database trusted by some of the largest enterprises.

Pinecone offers robust security features like:

  1. SOC2 Type II certification
  2. GDPR-compliance
  3. Routine Penetration Tests to check for vulnerabilities.
  4. Isolated Kubernetes containers on fully managed and secure AWS infrastructure for storing data.

Model

Cody AI leverages OpenAI’s GPT models, including GPT-3.5, GPT-3.5 16K, and GPT-4, to generate responses. Due to resource limitations, these models are not hosted on Cody’s native servers. Instead they utilise the APIs provided by OpenAI (also used for creating embeddings for your documents and queries). When generating responses, only the specific portion of data relevant to the question asked is sent in the request, rather than transmitting all the documents. This approach ensures efficient processing, data integrity and minimizes unnecessary data transfers. An additional security mechanism provided by the API is that your data will not be used to train any existing or new language model. This ensures that your data remains restricted to your bot and is not utilized for model training purposes.

Starting on March 1, 2023, we are making two changes to our data usage and retention policies:
1. OpenAI will not use data submitted by customers via our API to train or improve our models, unless you explicitly decide to share your data with us for this purpose. You can opt-in to share data.
2. Any data sent through the API will be retained for abuse and misuse monitoring purposes for a maximum of 30 days, after which it will be deleted (unless otherwise required by law).

Source: OpenAI

This commitment provides an additional layer of confidentiality and ensures the privacy and security of your data. To know more, you can read this article.

Conclusion

When considering all three factors together, Cody AI demonstrates a well-constructed approach to data security and compliance, ensuring the 99% security of your data. In an era where data privacy is of utmost importance, we strive to go above and beyond to ensure the complete security of your data.

If you have any feedback or questions regarding Cody AI and its data security, please don’t hesitate to reach out to us via Get Help. You are also welcome to join our Discord community, where you can provide valuable inputs and engage in discussions.

How To Train GPT On Excel Data For Free? (Beta)

A guide to adding Excel data to your Cody knowledge base and training ChatGPT for free.

Before you start training Cody on your company’s Excel data, it is necessary to clarify a few concepts to ensure the best responses from your bot. GPT, or Generative Pre-Trained Transformers, are language models trained on extensive datasets to predict the next word in a sentence or phrase in order to complete it. They are specifically trained on natural language datasets comprising large samples of unstructured conversational or literal data. Unlike statistical models such as Linear Regression, GPTs are not proficient in predicting numbers using logical training data. For example, if you train GPT on a dataset that claims 2+2=5, it will respond by stating that 2+2=5 without attempting to understand the logical inconsistency (this is just an example; OpenAI does handle such queries with accurate responses). This, coupled with another limitation of LLMs, which is hallucinations, creates an environment that is not well-suited for mathematical calculations.

Now that you understand the limitations of GPT, let us guide you through a process of training GPT on Excel data for free. We have developed a method to add Excel or CSV data to your Cody knowledge base. As mentioned earlier, GPT excels at understanding natural language, so we will convert the Excel data into a readable format that can be easily consumed by the language model.

Step 1: Transforming the Excel Data

Grab the CSV or Excel Data that you want to train your Bot on and convert them into a text file using this utility created by us. The utility converts the excel data into a text-file by annotating the data with their corresponding headers. By annotating the cell items with headers, lets the language model comprehend the context better since there is a high probability of the headers getting skipped due to document segmentation in the pre-processing stage.

Eg.

Excel Data:

Text Data:

{The Name is ‘John’. The Age is ‘16’.}, {The Name is ‘Marie’. The Age is ‘18’.}

The generated text file follows a format similar to JSON but with a more literary style to provide a more human-like feel. Although this solution is currently in an experimental stage and not yet integrated into the Cody app, it works well with all three GPT models but we are continuously exploring better solutions for this purpose.

Utility Interface:

CSV/Excel to TXT converter for Cody for Training GPT on Excel data for free

Sample CSV data:

Sample CSV data for Training GPT on Excel data for free

It is recommended that you clean the data before transformation to get the best quality of responses from your bot.

User interface of the converter for Training GPT on Excel data for free

After uploading the CSV or Excel data to the utility, you can preview the data before generating the GPT-compatible text file.

Rows Per Part: For larger datasets, it is advisable to divide the dataset into multiple parts. This division improves semantic search and enhances the quality of responses.

Include Cell References: If you want the text file to include Excel cell references, you can select this option. The bot can then refer to these cell references when creating step-by-step guides for actions that can be performed in Excel. For example, it can generate a formula to find the median.

A compressed zip folder will be generating that will contain all the parts of your excel data in .txt format.

Generated files for Training GPT on Excel data for free

Step 2: Adding the Data to your Cody Knowledge Base

To add the transformed data to the Cody Knowledge Base, follow these steps:

  1. Go to the Cody application and navigate to the “Content” section.
  2. Create a new folder within the knowledge base where you want to store the data.
  3. Once the folder is created, navigate inside it.
  4. Click on the “Upload” button to upload the transformed data.
  5. Select all the transformed data files from your local storage that you want to add to the knowledge base.
  6. Confirm the selection and initiate the upload process.
  7. The transformed data files will be uploaded and added to the Cody Knowledge Base, stored within the folder you created. After the documents have been successfully learned, the document status will be displayed as ‘learned’.

Uploaded text files for Training GPT on Excel data for free

Step 3: Setting up the Bot Personality

As this is still in an experimental stage, we are working on improving the prompt before we add it to the template mode.

Prompt:

You are Data Cody, an AI Data Analyst for my company. Your primary objective is to generate inferences from the Excel data provided to you. The Excel Cell references may be given in the form of $Cell. Do not mention the cell reference in responses. The information contained within ‘{}’ is one record. If asked for the details of a specific record, list them out in pointers.

System Prompt:

Try to respond in a human-like way when asked about any detail. Don’t justify your answers.

This process works well with all three GPT models, so even if you are on the free plan, you can give it a try. However, it’s worth noting that GPT-3.5 16K and GPT-4 models tend to comprehend the data better. If you’re satisfied with the answers you receive on the free plan but want more flexibility in formatting the responses and the ability to compare multiple records, upgrading to GPT-3.5 16K or GPT-4 can be beneficial. The additional context window provided by these models allows for more comprehensive analysis and manipulation of the data.

Demo

Demo for Training GPT on Excel data for free

Reference for first query:

Reference for second query:

Limitations

The ability to upload Excel or CSV files to Cody does not make it a direct alternative to spreadsheet tools like Google Sheets or Microsoft Excel. There are several limitations to consider when working with structured data in Cody:

  1. Hallucinations during Analytical Tasks: Tasks involving statistical or analytical calculations, such as asking Cody for averages, medians, or min/max values, may yield incorrect responses. Cody does not perform real-time calculations and can provide inaccurate results. OpenAI’s recent updates, like the Code Interpreter and function calling, may improve this in the future.
  2. Error While Comparing Records: In certain cases, Cody may encounter difficulties fetching data from different segments of the document, resulting in responses indicating that the information is unavailable. This scenario is more likely with the GPT-3.5 model available in the free plan. Upgrading to the Basic or Premium plans allows you to use the GPT-3.5 16K model or the GPT-4 model. Both of these models have larger context windows and can potentially address this limitation.

Conclusion

Despite these limitations, this process is particularly useful for scenarios where your business FAQ data or other literal data, such as employee training data, is stored in Excel or CSV format. Cody can be trained on this data without requiring any modifications. Cody also performs well when fetching details of a single record, describing the data, or providing suggestions based on inferred insights from numerical datasets like balance sheets or sales figures.

As an interim solution for training Cody on Excel or CSV data, we greatly appreciate your feedback on this approach. We value your input and encourage you to share your thoughts with us on our Discord Server or by reaching out to us through the Get Help feature. We are eager to hear about your experience and learn more from your feedback. Hope you liked our approach of training GPT on Excel data for free. Check out our blogs to know more about Cody.