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AI/LLM Primer

From tokens to agents — everything a technical team needs to know about large language models.

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Learning Tracks

Basics

Tokens, embeddings, transformers, attention. Start here. ~90 min.

Intermediate

Training pipelines, context windows, MoE, scaling laws. ~100 min.

Advanced

RAG, agents, multimodal, evals, tooling landscape. ~160 min.

Use Cases & Industries

AI by role and by industry, updated monthly. ~160 min.

Who Is This For?

Product Manager / PM

You make product decisions involving AI. You need to understand capabilities and limits, not math.

Reading time: 3–4 hours

Engineer

You're building with AI APIs. You want depth on architecture and practical patterns.

Reading time: 6–8 hours

Researcher / Leader

You want the full picture, including foundational papers.

Reading time: 12–15 hours

How to Use This Primer

The primer is organized into three tracks: Basics, Intermediate, and Advanced. Read top-to-bottom for a full education on how large language models work, or use the sidebar to jump directly to the topics you need. Every page carries a PM Takeaway badge that signals how deeply a product manager should engage with that content — so you can calibrate your investment based on your role.