Linear Digressions

Linear Digressions

Por: Katie Malone
Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago. 896520
320 episodios disponibles

Latest episodes of the podcast Linear Digressions

Better Know a Benchmark: Humanity's Last Exam 17/08/2026
A Scientific Deep Dive into Overconfident LLMs: Interview with Kaitlyn Zhou (Cornell) 10/08/2026
Reasoning Models: When LLMs Went Beyond Fancy Autocomplete 03/08/2026
Distillation, or, How to Steal a Model 27/07/2026
Invisible LLM Failures and AI Fluency with Chris Potts (Stanford) 20/07/2026
Still summer break: back next week 13/07/2026
Summer break: back soon 06/07/2026
Interviewing the Linear Digressions Agents (The Agents Season, Episode 11) 28/06/2026
Agent Economics (The Agents Season, Episode 10) 22/06/2026
Agent Trust, Oversight and Control (The Agents Season, Episode 9) 15/06/2026
Many Agents, Many Problems (The Agents Season, Episode 8) 08/06/2026
How Do You Evaluate An AI Agent? (The Agents Season, Episode 7) 01/06/2026
AI Agent Failure Modes (The Agents Season, Episode 6) 25/05/2026
Agentic Planning (The Agents Season, Episode 5) 18/05/2026
Memory Management for AI Agents (The Agents Season, Episode 4) 10/05/2026
Lost in the Middle (The Agents Season, Episode 3) 04/05/2026
ReAct and Tool Usage (The Agents Season, Episode 2) 27/04/2026
What's an AI Agent? And Why's That Hard to Define? (The Agents Season, Episode 1) 20/04/2026
Unfaithful Chain of Thought 13/04/2026
Benchmark Bank Heist 06/04/2026
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