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Podcast · Inglés

Linear Digressions

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.

TechnologyInglés

Episodios

Ordenados por fecha de publicación.

31 ago 2026

A Data-Driven Reality Check on AI in Business (Interview with Tom Davenport, Babson College)

24 ago 2026

Understanding AI Text Watermarking

24 ago 2026

Understanding AI Text Watermarking

17 ago 2026

Better Know a Benchmark: Humanity's Last Exam

17 ago 2026

Better Know a Benchmark: Humanity's Last Exam

10 ago 2026

A Scientific Deep Dive into Overconfident LLMs: Interview with Kaitlyn Zhou (Cornell)

10 ago 2026

A Scientific Deep Dive into Overconfident LLMs: Interview with Kaitlyn Zhou (Cornell)

3 ago 2026

Reasoning Models: When LLMs Went Beyond Fancy Autocomplete

27 jul 2026

Distillation, or, How to Steal a Model

20 jul 2026

Invisible LLM Failures and AI Fluency with Chris Potts (Stanford)

13 jul 2026

Still summer break: back next week

6 jul 2026

Summer break: back soon

28 jun 2026

Interviewing the Linear Digressions Agents (The Agents Season, Episode 11)

22 jun 2026

Agent Economics (The Agents Season, Episode 10)

15 jun 2026

Agent Trust, Oversight and Control (The Agents Season, Episode 9)

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