LangChain for LLM Application Development

In this course you will learn and 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.