Detailed Course Outline
- Introduction to the workshop and setting up the environment.
- Exploration of LLM inference interfaces and microservices.
- Designing LLM pipelines using LangChain, Gradio, and LangServe.
- Managing dialog states and integrating knowledge extraction.
- Strategies for working with long-form documents.
- Utilizing embeddings for semantic similarity and guardrailing.
- Implementing vector stores for efficient document retrieval.
- Evaluation, assessment, and certification.