PM-specific focus
Compare models like infrastructure choices, not brand fandom. Families, tiers, deployment paths, and unit economics belong in the same conversation as quality.
Deliverable
Model selection memo: use case, quality requirements, cost estimate at scale, chosen model + rationale, risks, and fallback path.
Outcomes
Learning outcomes
Map foundation model families
Run reproducible model comparisons
Interpret benchmarks without hype
Model unit economics at scale
Write a defensible selection memo
Topics
Core topic map
Model families
Closed vs open-weight
Multimodal
Benchmarks
Cost per token
Model tiers
Selection memo
Tools & frameworks
LMSYS Chatbot Arena
Provider pricing pages
Model cards
Internal eval harness
Resources
Anthropic model docs
OpenAI model docs
Google Gemini docs
Meta Llama model card
Chapters
Chapter path
Chapter 01 · Active
Model Families and the Competitive Landscape — The PM Version
Beginner–Intermediate
24–28 min read
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Chapter 02 · Active
Choosing Between GPT, Claude, Gemini, and Llama — The PM Version
Beginner–Intermediate
26–30 min read
Read now →
Chapter 03 · Active
Multimodal AI: Vision, Audio, Code, and Documents — The PM Version
Beginner–Intermediate
26–30 min read
Read now →
Chapter 04 · Active
Benchmarks: What PMs Should and Shouldn't Trust — The PM Version
Beginner–Intermediate
26–30 min read
Read now →
Chapter 05 · Active
Cost per Token, Latency, and Model Tier Tradeoffs — The PM Version
Beginner–Intermediate
28–32 min read
Read now →
Chapter 06 · Active
The Model Selection Memo — The PM Version
Beginner–Intermediate
28–32 min read
Read now →