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

2025-01-05 15:1310 min read

Content Introduction

In this video, the speaker shares a method to feed personal data into ChatGPT, allowing it to organize, structure, and respond to inquiries regarding the individual's information such as documents and internship history. The video includes examples of using ChatGPT to describe the speaker's past internships and summarize key information from personal data. The speaker explains a tutorial process for integrating and utilizing custom data with tools like LangChain and emphasizes the importance of data privacy. The latter part of the video covers coding aspects, including loading data and controlling outputs, and mentions concerns surrounding the security of sensitive information shared with AI models. The video concludes with calls to action like subscribing and exploring additional resources.

Key Information

  • The speaker has created a method to input personal data into ChatGPT to help organize and structure documents.
  • The speaker demonstrates how to ask ChatGPT for information based on their personal data, such as details about internships.
  • ChatGPT is able to recall customized information and is suggested to be used for various personal queries.
  • The speaker suggests the potential application of ChatGPT in managing day-to-day appointments, including dental visits.
  • The speaker introduces a tool called LangChain for integrating with custom personal data and executing queries.
  • They mention the necessity of coding, but reassure that it can be done with minimal effort.
  • Concerns about data privacy regarding personal information submitted to models like ChatGPT are highlighted.
  • The speaker suggests using OpenAI's API with a balance between privacy concerns and application needs.
  • ChatGPT can analyze personal data like resumes or schedules, extending its usage capabilities.
  • An example of running code snippets and verifying functionality through custom commands is given.

Timeline Analysis

Content Keywords

ChatGPT Integration

The speaker demonstrates how to feed personal custom data into ChatGPT, allowing it to organize, structure documents, and retrieve information effectively.

Data Customization

By using custom data, users can ask ChatGPT specific questions related to personal experiences like internships, which results in organized, relevant responses.

Local Data Processing

The video covers how to set up a personal ChatGPT bot that ingests local custom data, addressing privacy concerns and the potential for tailored responses.

LangChain Setup

Instructions are provided for installing the LangChain library to facilitate interaction with personal data, enabling the development of applications utilizing GPT for customized tasks.

Azure and OpenAI APIs

A discussion of the differences between Azure OpenAI API and the original ChatGPT API, focusing on data privacy and API functionality for professional use.

Usage Cases

The speaker explores various practical applications of ChatGPT, such as summarizing tweets, keeping track of personal schedules, and generating contextual responses based on data ingested.

Coding Examples

Demonstrates practical coding activities, such as handling input and output in Python, as well as using provided libraries to enhance ChatGPT's capabilities in coding.

Privacy and Data Security

Emphasis on understanding privacy policies and security measures when using AI tools, including the importance of controlling what data is shared with third-party plugins.

Tech Interview Coaching

The speaker promotes techinterviewpro.com for coaching on software engineering interviews, linking back to the use of ChatGPT in preparing for technical job challenges.

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