Crafting Specialized AI with Hugging Face and LangChain

What if you could turn a generic AI large language model into a domain expert by combining retrieval, adaptation, and fine-tuning, all with Hugging Face' Opensource models?

In this talk we will explore multiple techniques like Weight-Modification tuning (PEFT), RAG (Retrieval-Augmented Generation) and prompt engineering to specialize AI models.

Agenda:

1. Elucidate the need of specializing the LLM
2. Concepts and code overview of techniques like PEFT(LoRa) using hugging face libraries and langchain for RAG.
3. Insights on picking the right technique for the specific usecase.
4. Demo: Contextual Chatbot for a Knowledge Base