Programs I executed while I completed DeepLearning.AI's LangChain for LLM Application Development course by Harrison Chase and Andrew Ng that covered:
-
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