An AI glossary
A glossary explaining 20+ common AI terms in simple language, from models and LLMs to transformers, training, RLHF, RAG, evals, agents, and hallucinations. It aims to help readers follow AI conversations in meetings and…
Every note in the archive that names Retrieval-Augmented Generation: summaries, key takeaways and links to the original essays, episodes and posts. Ask a question below to get a cited answer from just these notes’ authors.
A glossary explaining 20+ common AI terms in simple language, from models and LLMs to transformers, training, RLHF, RAG, evals, agents, and hallucinations. It aims to help readers follow AI conversations in meetings and…
Lenny Rachitsky shares a guest post by prompt engineer Mike Taylor covering eight prompting techniques, from role-playing and few-shot examples to chain-of-thought, retrieval, and using an LLM as a judge. Each tactic…
“Listen to this episode on: Spotify | Apple Podcasts What if AI could help reduce the 10-plus years it takes to get a new drug to market? That's the driving ambition behind Medable's agentic platform—and the bet that led them to build Agent Studio. In this episode”
Teresa Torres interviews the co-founders of Earmark, a productivity suite that runs multiple AI agents during live meetings to produce finished artifacts such as specs, tickets, and prototypes rather than passive…
This episode of a product podcast features Incident.io's founding engineer Lawrence Jones and AI product lead Ed Dean discussing how their team is building an AI SRE that helps diagnose and respond to production…
Teresa Torres and Petra Wille discuss how they use AI as strategic thought partners across writing, coding, and product work rather than as ghostwriters. Petra describes a voice-first, bilingual transcription workflow…