All about prompting.
This lesson explores building a personalized AI assistant using OpenAI and Pinecone, demonstrating how to leverage vector databases for efficient long-term memory and context retrieval to create highly personalized responses. Different tiers of personalization are implemented and compared, ranging from simple system prompts to advanced vectorstore-based methods, highlighting the trade-offs between complexity and performance.
Master Langchain's powerful tools, LangSmith for in-depth LLM project analysis and Open Canvas for streamlined prompt creation. Learn prompt engineering techniques, including using custom actions to refine prompts and achieve specific stylistic goals, like creating pirate-themed responses or simplifying text for different audiences.
