Memory
[Hands-on] Agent memory is only as good as its schema
A deep dive on building production-grade memory for Agents.
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Reinforcement Learning Course
Model-Free Learning
RL Part 4: Learning value functions and policies without a model. Monte Carlo methods, TD(0), SARSA, Q-learning, and the bias-variance bridge between them.
Agents
Hermes Agent Masterclass
Everything you need to understand and customize Hermes Agent.
LLMs
Speculative Decoding in LLMs
...explained with code and tradeoffs.
Reinforcement Learning Course
Bellman Equations and Dynamic Programming
RL Part 3: Bellman expectation and optimality equations, policy iteration, value iteration, and why dynamic programming needs a model.
Reinforcement Learning Course
Markov Decision Processes and Value Functions
RL Part 2: Markov decision processes, returns, policies, and value functions.
Reinforcement Learning
How to Beat GRPO Without Touching Model Weights
Berkeley beat GRPO by 10 points with 35× fewer rollouts and no GPU training,
Reinforcement Learning
How Top AI Labs Are Building RL Agents in 2026
The era of not writing custom reward functions.
