Learn to build complex LLM applications with context and reasoning capabilities in this comprehensive workshop from the Toronto Machine Learning Series. Explore how to create industry-standard agentic RAG applications using LangChain v0.2 and LangGraph, guided by AI Makerspace co-founders Greg Loughnane and Chris Alexiuk. Master the implementation of context windows through direct prompting or search and retrieval, while understanding the Reasoning-Action pattern that enables agent-like behavior. Dive deep into both theoretical concepts and practical code implementation over five and a half hours, gaining hands-on experience with the latest tools and techniques in the LLM application development landscape.
Building an Open Source Agentic RAG Application with Llama
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Syllabus
Building an Open Source Agentic RAG Application with Llama
Taught by
Toronto Machine Learning Series (TMLS)
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