It will help you to get experience with the following topics:
Models, Prompts and Parsers: calling LLMs, providing prompts and parsing the response Memories for LLMs: memories to store conversations and manage limited context space Chains: creating sequences of operations Question Answering over Documents: apply LLMs to your proprietary data and use case requirements Agents: explore the powerful emerging development of LLM as reasoning agents.
Credits: Deep Learning AI & LangChain for the wonderful course & learning notebooks.