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How one can Superb-Tune an LLM with a PDF – Langchain Tutorial



On this video, I will stroll via how one can fine-tune OpenAI’s GPT LLM to ingest PDF paperwork utilizing Langchain, OpenAI, a bunch of PDF libraries, and Google Colab. With this, you can ingest any PDF doc, fine-tune the LLM, ask it questions, get summarizations and analyses, and a lot extra! This can be a tutorial for absolute rookies since you may simply click on “play” in Google Colab at every step and it’ll “simply work”.

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Hyperlinks:
Colab Pocket book – 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 Grasp S2 – https://amzn.to/3kyghiH
Logitech Craft Wi-fi Keyboard – https://amzn.to/3QSsHhx
Logitech HD Video Digicam – 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
Giant Black Desk Pad – https://amzn.to/3YdNChz

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