Product Management Concepts

Mixture of Experts (MoE) is the architecture behind GPT-4, Gemini 1.5, and Mixtral. Here's a PM-level explanation of how MoE works and why it matters for your API budget.

How do you know if your AI product is quietly giving users wrong answers? Learn how LLM observability works: traces, spans, LLM-as-judge, and why a 200 OK status code tells you nothing about quality. (Remember to click on"show pictures")

AI agents fail because of poor memory, not bad models. Learn the 4 memory types, why they break, and how to fix your agent’s performance across sessions.

Search, recommendations, chatbots that answer questions all start the same way: converting something into an embedding. As PMs it is essential to understand how embeddings work and how to use them.

How do you know if your AI product is quietly giving users wrong answers? Learn how LLM observability works: traces, spans, LLM-as-judge, and why a 200 OK status code tells you nothing about quality. (Remember to click on"show pictures")

Real AI chatbots failed at Chevrolet, DPD & Air Canada. Here’s how guardrails prevent hallucinations, PII leaks, prompt injection & costly AI mistakes.

Here's how DoorDash replaced 300 fixed carousels with LLM-generated ones, used embeddings, AI moderation, ranking, and A/B tests to boost relevance and clicks.