Using ChatGPT with YOUR OWN Data. This is magical. (LangChain OpenAI API)

TechLead
19 Jun 202316:28

TLDRThe video demonstrates how to integrate personal data with Chat GPT, enabling users to query their own information, such as internship history, dentist appointments, and family travel plans. It showcases the use of the Langchain library for data organization and the Open AI API for question-answering capabilities. The tutorial also addresses privacy concerns, highlighting Open AI's policy changes regarding data usage and the potential for prompt injection hacking with third-party plugins. The video concludes with various use case examples, including summarizing Twitter feeds, web articles, and even debugging code, showcasing the versatility of Chat GPT when combined with personal data.

Takeaways

  • 🔍 The speaker has discovered a method to integrate personal custom data with Chat GPT, allowing it to organize and structure documents for easy querying.
  • 📄 Chat GPT can describe companies, events, and personal history when fed with the user's custom data, such as internships and dentist appointments.
  • 📅 The tool can also access and interpret personal calendars, providing information about future events like trips or appointments.
  • 📊 The speaker demonstrates how to summarize Twitter feeds and web pages by copying and pasting the content into a text document for Chat GPT to analyze.
  • 📝 The potential applications of this integration include creating personalized apps, such as a calendaring app that can interact with the user's schedule.
  • 💻 The process requires some coding, but it's relatively simple, involving the use of the Lang chain library and an OpenAI API key.
  • 🔗 The Lang chain library handles the heavy lifting of data analysis and structuring, making it easy to query the data in a natural language format.
  • 🔐 OpenAI's privacy policy ensures that user data submitted via the API will not be used to train or improve their models, and will be deleted after 30 days.
  • 🔒 There are concerns about privacy when using third-party plugins with Chat GPT, as they may not be legitimate or could potentially manipulate search queries.
  • 🔄 The speaker suggests that merging both custom and external data can provide a more cohesive world model, enhancing the capabilities of Chat GPT.
  • 🛠️ The tool can also be used to analyze and debug code, as well as extend its usage by learning from the user's writing or coding style.

Q & A

  • What is the main trick described in the script for personal data organization?

    -The main trick described is feeding personal custom data into Chat GPT, allowing it to crawl through, organize, and structure documents, enabling the user to interact with their data through natural language queries.

  • How does the user demonstrate the capability of Chat GPT with personal data?

    -The user demonstrates by asking Chat GPT to describe companies from their internships, format information in bullet points, and recall personal events like dentist appointments and their parents' travel plans.

  • What is the GitHub Library mentioned for setting up a personal Chat GPT bot?

    -The GitHub Library mentioned is called The Lang Chain, which simplifies the process of ingesting custom data into Chat GPT.

  • What is the purpose of the open AI API key?

    -The open AI API key is used to access the Open AI services, allowing the user to utilize the Chat GPT model for their custom data analysis.

  • How does the user ensure their data is not used for training or improving Open AI models?

    -According to Open AI's privacy policy, starting from March 1st, they will not use any data submitted by their API to train or improve their models, and the data will be retained for a maximum of 30 days for abuse and misuse monitoring purposes before being deleted.

  • What is the difference between the Open AI API and the Azure Open AI API in terms of data privacy?

    -The Azure Open AI API ensures that the data submitted remains within Microsoft and is encrypted, with only certain Microsoft employees having access for debugging purposes, whereas the Open AI API's data usage policies are less clear and could potentially be used for various purposes.

  • How does the user utilize Chat GPT for code analysis?

    -The user pastes a piece of code into the system and asks Chat GPT to write a specific function in the context, or to find bugs in the code, demonstrating the ability to analyze and understand code snippets.

  • What is an example of a novel usage case for Chat GPT with personal data?

    -An example is using Chat GPT to analyze a large number of customer reviews and generate short review summaries for car overviews, which can be used as a background job to process a database over time.

  • How does the user show the potential of Chat GPT in learning and mimicking personal coding styles?

    -By feeding Chat GPT a sequence of odd numbers, the user asks it to extend the sequence by adding 10 more numbers, demonstrating the model's ability to recognize patterns and mimic the user's input style.

  • What is the user's recommendation for those interested in software engineering interviews?

    -The user recommends visiting techinterviewpro.com for interview coaching and preparation for software engineering companies.

Outlines

00:00

🤖 Custom Data Integration with Chat GPT

The speaker describes a method to integrate personal data into Chat GPT, allowing the AI to organize and structure documents. They demonstrate how to query the AI for information about past internships, dentist appointments, and parental travel plans. The AI is shown to process and summarize data from various sources, including Twitter feeds and web pages, showcasing its potential for personal data analysis and natural language querying.

05:01

🔧 Setting Up a Personal Chat GPT Bot

The speaker guides the audience through the process of setting up a personal Chat GPT bot using the Lang chain library and an OpenAI API key. They emphasize the simplicity of the process, requiring minimal coding, and discuss the benefits of using Python. The speaker also touches on the importance of learning Python for career opportunities and the ease of integrating it with other languages and technologies.

10:03

🔍 Merging Personal and External Data

The speaker explains how to merge personal data with external information to enhance the AI's understanding and provide more comprehensive answers. They demonstrate this by querying the AI about the companies of their internships and George Washington, showing how the AI can now provide context about the outside world. The speaker also discusses the privacy implications of using OpenAI's API and the potential for data misuse.

15:04

🛠️ Advanced Usage and Privacy Concerns

The speaker explores advanced usage cases for the Chat GPT API, such as code analysis and bug detection, as well as summarizing large sets of data. They mention a real-world application where customer reviews are analyzed to generate summaries for car overviews. The speaker also addresses privacy concerns related to using third-party plugins and APIs, comparing the OpenAI and Azure Open AI services, and highlighting the importance of understanding the privacy policies of these services.

Mindmap

Keywords

💡Chat GPT

Chat GPT is an AI language model that is used in the video to interact with the user's personal data. It is capable of organizing, structuring, and providing information based on the data fed to it. In the video, the user demonstrates how Chat GPT can describe companies from their internship history, summarize Twitter feeds, and even manage personal schedules. It is shown as a powerful tool for personal data management and analysis.

💡Custom Personal Data

Custom personal data refers to the user's individual information, such as documents, calendars, and other personal records. In the context of the video, the user has structured and organized this data to allow Chat GPT to crawl through and provide insights. This data is used to demonstrate the capabilities of Chat GPT in handling and analyzing personal information, such as internship history, dentist appointments, and parental travel plans.

💡Lang Chain

Lang Chain is a GitHub library mentioned in the video that facilitates the ingestion of custom data into Chat GPT. It is used to load text documents, vectorize the data, and create an index for querying. The user installs Lang Chain to set up a personal bot that can analyze their own data, which is a key step in the process of extending Chat GPT's capabilities to personal use cases.

💡Vector Store Index Creator

The Vector Store Index Creator is a component of the Lang Chain library that is responsible for analyzing and structuring the data fed into it. It creates an index that allows for efficient querying and retrieval of information. In the video, this tool is used to enable Chat GPT to understand and respond to queries based on the user's custom personal data.

💡Question Answering

Question answering is a feature of Chat GPT that allows it to respond to specific inquiries based on the data it has access to. In the video, the user demonstrates this by asking Chat GPT about their internships, dentist appointments, and other personal matters. The ability to answer questions is a core functionality of Chat GPT that is enhanced by the integration of custom personal data.

💡Retrieval

Retrieval in the context of the video refers to the process by which Chat GPT accesses and utilizes the user's custom data to provide answers. It is a key concept in the video, as it explains how Chat GPT can combine personal data with its own knowledge base to deliver more comprehensive responses. The user's demonstration of asking about George Washington illustrates the retrieval process in action.

💡Open AI API

The Open AI API is a service that provides access to AI models, including GPT, for developers. In the video, the user mentions the need for an Open AI API key to use certain features of Chat GPT. The API is also discussed in terms of privacy, as the user notes that Open AI has policies regarding the use and retention of data submitted through their API.

💡Privacy Concerns

Privacy concerns are addressed in the video regarding the use of Open AI's services. The user mentions that Open AI's privacy policy states they will not use data submitted through their API to train or improve their models, and that the data will be retained for a limited time for monitoring purposes. This is important for users who are considering using the service, as it relates to the security and confidentiality of their personal data.

💡Plugins

Plugins in the video refer to additional tools or extensions that can be used with Chat GPT to enhance its functionality. The user discusses the potential risks of using third-party plugins, such as prompt injection hacking, where a plugin might modify search queries or block certain results. The user suggests that writing custom code might be a safer alternative to using unverified plugins.

💡Azure Open AI API

The Azure Open AI API is an alternative to the Open AI API, provided by Microsoft. It is mentioned in the video as a service that keeps the data submitted within Microsoft's infrastructure and is encrypted. The user suggests that this API might be a better choice for sensitive data, as it offers different privacy and data handling policies compared to the standard Open AI API.

💡Code Analysis

Code analysis is the process of examining and understanding code to identify errors, inefficiencies, or areas for improvement. In the video, the user demonstrates how Chat GPT can be used to analyze code, such as finding bugs in a Python quicksort function. This showcases the AI's ability to understand and work with programming concepts, which is a valuable feature for developers.

Highlights

The speaker has discovered a method to feed personal custom data into Chat GPT, allowing it to organize and structure documents.

Chat GPT can describe the companies of the speaker's internships and provide detailed information about them.

The speaker can interact with their data by asking Chat GPT questions, such as the date of their last dentist appointment.

Chat GPT can also access personal calendar data to provide information about the speaker's parents' travel plans.

The speaker demonstrates how Chat GPT can summarize a Twitter feed by analyzing a provided text document.

Chat GPT can summarize web page content when provided with a text document, offering bullet-point summaries.

The speaker explores the potential of Chat GPT to analyze various personal data types, such as books, diaries, and research papers.

The speaker discusses the creation of a personal Chat GPT bot using the Lang chain library and Open AI API.

The Lang chain library simplifies the process of ingesting custom data into Chat GPT with minimal coding.

The speaker emphasizes the importance of learning Python, which is widely used in the tech industry.

Chat GPT can merge external data with custom data to provide more comprehensive answers.

The speaker addresses privacy concerns related to using Open AI's API and the potential for data misuse.

The speaker mentions the existence of an Azure Open AI API, which may offer better privacy protection for sensitive data.

Chat GPT can be used to analyze and debug code, as demonstrated by the speaker's example with a quicksort function.

The speaker discusses the potential for Chat GPT to generate review summaries from large datasets, as shown in a case study from Azure Open AI.

Chat GPT can identify patterns in data and extend sequences, such as adding more numbers to a series of odd numbers.

The speaker suggests that Chat GPT could learn a user's coding style from their writing samples to generate similar code.

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