Self-paced course
AI Agents & Reasoning
Getting LLMs to plan, use tools, remember, and reason — what the agent papers actually demonstrate and how the patterns hold up in production.
0 / 7 lessons complete
Curriculum
- Toolformer: What the Paper Actually Says
- Generative Agents: What the Paper Actually Says
- The AI agent observability stack — what to measure, what to use
- Tree of Thoughts: What the Paper Actually Says About LLM Search
- ReAct: What the Reasoning + Acting Paper Actually Says
- DeepSeek-R1: What Reinforcement Learning with Verifiable Rewards Actually Does
- Chain-of-Thought Prompting: What the Wei et al. Paper Actually Says
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