VIDEO
HIGHLIGHT
Log InSign up
How to Fine-Tune an LLM with a PDF - Langchain Tutorial
SummaryTranscriptChat

How to Fine-Tune an LLM with a PDF - Langchain Tutorial

Introduction to Fine-tuning Chat GPT for PDF Documents

In this video, the presenter demonstrates how to fine-tune Chat GPT to read from any PDF document and engage in a conversation with it. The process involves using Lang chain, OpenAI API, and various libraries for PDF processing.

Setting up the Environment

  • Install necessary libraries by running the provided code.
  • Import the OS library and set the environment variable for the OpenAI API key.
  • Use Lang chain's unstructured PDF loader to load PDFs into a format usable by large language models.
  • Utilize the vector store index creator from Lang chain to store data in vector format for easy access by language models.

Loading and Processing PDFs

  • Load Detectron 2 and specify the device (CPU or GPU) for processing.
  • Download a specific PDF file or use any other desired PDF file accessible on the web.
  • Create a "docs" directory and move the downloaded file into it.
  • Load the PDF using Lang chain's structured PDF loader, ensuring that all dependencies are installed correctly.

Querying Information from the PDF

  • Fix any errors related to missing dependencies if encountered during loading.
  • Use Chroma DB without persistence to create a vector store from the loaded PDF data.
  • Define a query string, such as asking about revenue or risks related to a specific company mentioned in the document.
  • Execute the query using Index.query() function with input parameters from previous steps.

Conclusion

The presenter concludes by encouraging viewers to explore and experiment with different types of data and larger PDF files. They provide a collab notebook link in the video description for immediate usage. Viewers are invited to modify and share their own versions of this code.

Feel free to copy the notebook, play around with it, and share any cool projects or modifications. If you enjoyed the video, consider liking and subscribing for future content.

The transcript is already in English.

Channel: Matthew Berman
Video description

In this video, I'll walk through how to fine-tune OpenAI's GPT LLM to ingest PDF documents using Langchain, OpenAI, a bunch of PDF libraries, and Google Colab. With this, you'll be able to ingest any PDF document, fine-tune the LLM, ask it questions, get summarizations and analyses, and so much more! This is a tutorial for absolute beginners since you can just click "play" in Google Colab at each step and it will "just work". Enjoy :) Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai/ My Links 🔗 👉🏻 Subscribe: https://www.youtube.com/@matthew_berman 👉🏻 Twitter: https://twitter.com/matthewberman 👉🏻 Discord: https://discord.gg/xxysSXBxFW 👉🏻 Patreon: https://patreon.com/MatthewBerman Media/Sponsorship Inquiries 📈 https://bit.ly/44TC45V Links: Colab Notebook - https://colab.research.google.com/drive/1RXTs4FPcFCVb9_ZAWBBxLoYQEcKz37x9 Langchain - https://python.langchain.com/en/latest/index.html Contents of this video ——————— 0:00 - Intro 0:15 - Tutorial 4:25 - Outro My Workstation Setup: Apple MacBook Air M2 - https://amzn.to/3GQFexg LG Ultrawide 5k Monitor - https://amzn.to/3XsnBuC Logitech Litro Glow - https://amzn.to/3HkP1wX Vivo Monitor Stand - https://amzn.to/3Xv0TlU Logitech MX Master S2 - https://amzn.to/3kyghiH Logitech Craft Wireless Keyboard - https://amzn.to/3QSsHhx Logitech HD Video Camera - https://amzn.to/3XMFFQc Blue Yeti Microphone - https://amzn.to/3XICOaP Uplift Standing Desk - https://amzn.to/3XMFYKQ Apple AirPods Max Headphones - https://amzn.to/3XOwYF1 Large Black Desk Pad - https://amzn.to/3YdNChz