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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.
