build trust with users and stakeholders - transparency and explainability, reliability and consistency (how to fail safely), automation vs user control.

how to evaluate with uncertainty, prompt engineering, effective bug reports

examples and practices of advanced agents, and use of LangGraph for effective tool usage by agents

how to solve latency issues with minimal compromise on quality and cost

The 12 most common challenges around building an effective RAG pipeline and the best practices for solutions

exploring the reranker component in the 2 stage retrieval system

how to define effective requirements for llm apps, and first steps after going to production

What are transformers, why it is so expensive to train a Transformer-based model and what is the architecture of the future LLMs

LCEL, LangGraph, LangSmith

Indexing knowledgebases with KG for RAG applications

ragas framework for evaluating unstructured retrievals and generations