CMU LLM Inference (11): Agents and Multi-Agent Communication
This lecture (by Graham Neubig) for CMU CS 11-763, Advanced NLP (Fall 2025) covers: Basic agent concepts and definitions Agent architectures and environments Efficiency optimizations (context management, caching) Safety challenges and solutions Multi-agent systems Class Site: https://phontron.com/class/lminferenc...
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CMU LLM Inference (12): Reward Models and Best-of-N
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Claude Architect: Multi-Agent Orchestration
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Lessons from the Trenches on Building Usable Coding Agents - Graham Neubig
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CMU LLM Inference (10): Incorporating Tools
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How Agents Quietly Break Architecture
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CMU LLM Inference (9): Reasoning Models
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CMU LLM Inference (7): Chain of Thought and Intermediate Steps
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Full Walkthrough: Workflow for AI Coding — Matt Pocock
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Hermes Architecture EXPLAINED: Memory, Context & Gateways
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Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!
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Why Inference is hard..
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CMU LLM Inference (1): Introduction to Language Models and Inference
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How To Think SO CLEARLY People Assume You're A Genius
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Attacking AI - Jason Haddix - NDC Security 2026
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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
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Complete Agentic AI Course - AI Agents, RAG, Embeddings, Architectures, Framework, VectorDB & Memory
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Building AI Agent Systems and Scaling Challenges in Agentic AI
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CMU LLM Inference (2): Probability Review and Code Examples
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