[HIDDEN]
LLM Foundations
Transformer-era language modeling concepts, architectures, and capability framing.
Not published
Llms And Agents
CLASSIFICATION
11 tracks / 184 lessons
TRACKS
[HIDDEN]
LLM Training, Alignment, and Serving
Training infrastructure, alignment loops, inference optimization, and deployment of large language models.
Not published
[HIDDEN]
RAG, Agents, and LLM Production
Retrieval-augmented generation, agentic systems, evaluation, and operational patterns for LLM products.
Not published
[HIDDEN]
Reasoning and Frontier Post-Training
Synthetic data, verifiers, process supervision, reasoning traces, and frontier post-training loops.
Not published
[HIDDEN]
Agent Runtime and Tool-Use Systems
Tool schemas, planners, sandboxes, browser agents, orchestration loops, and runtime failure handling.
Not published
[HIDDEN]
Agent Memory, Planning, and Context Engineering
Episodic memory, retrieval memory, long-context strategies, context construction, and planning over state.
Not published
[DRAFT]
Agent Safety, Guardrails, and Policy Systems
Guardrails, policy enforcement, action filtering, runtime controls, and the trust boundaries needed around agentic systems.
Not published
[DRAFT]
LLM Evaluation and Benchmarking
Offline evals, task suites, judge systems, reliability trade-offs, and the measurement discipline required to compare LLM behavior honestly.
Not published
[DRAFT]
Multi-Agent Systems and Coordination
Coordination protocols, role assignment, negotiation, and the design patterns for systems composed of multiple autonomous agents.
Not published
[DRAFT]
Tool Learning and Environment Interaction
Tool selection, environment feedback, learned interaction policies, and the mechanisms that let agents improve through action.
Not published
[DRAFT]
Human-AI Collaboration and Agentic Workflows
Design reliable work with AI assistants and agents: delegation, context, review, tool boundaries, memory, failure recovery, and human judgment.
Not published