Novices workshop to fine-tune OpenAI LLM mannequin with enterprise net knowledge in Python

This hands-on workshop reveals use Langchain LLM software framework with Chroma embedding database to fine-tune an OpenAI GPT-3.5-Turbo LLM mannequin on net knowledge. The ultimate resolution returns ChatGPT like interface to your buyer net knowledge.

Additionally, you will be taught:– Why you will need to fine-tune LLM fashions with ad-hoc knowledge– Learn how to use open-source libraries i.e Langchain, ChromaDB

The workshop code:– https://github.com/prodramp/DeepWorks/blob/main/ChatGPT/LangChainOpenAI.md

== Video Timeline ==(00:00) Content material Intro(00:58) The Drawback(04:12) The Resolution(06:13) Working Resolution Demo(09:10) Understanding Resolution(12:12) Open-source libs(14:22) Internet Information as supply content material(12:30) Testing UI (with out motion)(15:58) Python Libs Put in(17:08) Python Coding Begins(17:27) Setting OpenAI API Key(18:16) Setting Embeddings(20:12) Setting Chunk Splitter(21:02) Setting embeddings Mannequin(21:43) Create & Persist Embeddings(23:30) Take a look at Embeddings Code(26:08) Setting Langchain App(27:30) Including Question to KB DB(29:18) Testing Question with KB(30:24) Steady Queries(32:08) Opensource Libs Overview(32:41) OpenAI Billing(33:34) Supply code(34:00) Recap

=== Open-source Libraries Used: ===– https://github.com/chroma-core/chroma– https://github.com/hwchase17/chat-langchain– https://github.com/openai

Please go to:https://prodramp.com | @prodramphttps://www.linkedin.com/company/prodramp

Content material Creator:Avkash Chauhan (@avkashchauhan)https://www.linkedin.com/in/avkashchauhan

Tags:#llm #chatgpt #finetunellm #openai #python #ai #langchain #chromadb

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