
5eaabb50-0561-11f1-a0bc-cb0c6e332f5b
| Publishes | Twice weekly | Episodes | 298 | Founded | 11 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Every AI builder knows the anxiety: you spend months engineering prompts, tuning pipelines, and chaining calls together — then a new model drops and half your work evaporates overnight. It turns out researchers have been wrestling with this exact dyn... more
From Atari to ChatGPT: How AI Learned to Follow Instructions by Ben Jaffe and Katie Malone
Today we are going to talk about the feature with the worst acronym in generative AI: RAG, or Retrieval Augmented Generation. If you've ever used something like "Chat with My Docs," if you have an internal AI chatbot that has access to your company's... more
One of the things that LLMs can be really helpful with is brainstorming or generating new creative content. They are called Generative AI, after all—not just for summarization and question-and-answer tasks. But if you use LLMs for creative generation... more
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Used to really enjoy this podcast back in the day. I sometimes wonder what they think about the all the changes the last last five years.
A very informative podcast about the field of datascience. Very pensant to listen.
Yep
Great mix of technical terms explained in digestible way and not being too robotic
Katie & Ben, thank you for such a great podcast. I just finished listening to all of the episodes. I started mid 2020 after the the last episode was published! I’m not even a data scientist or have any specialty in the area but it’s been informative and really fun to listen to Linear Digression.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #183 | |
Apple Podcasts | #192 | |
Apple Podcasts | #194 | |
Apple Podcasts | #211 |
Listeners, social reach, demographics and more for this podcast.
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The show consistently explores practical data science, machine learning, and AI topics with a focus on making complex concepts accessible. Episodes often unpack how models work, how to apply statistical ideas in real-world workflows, and how emerging AI techniques—like instruction-following, retrieval-augmented generation, and alignment with human preferences—change how teams build and use data-driven systems. A standout trait is the balance between technical rigor and approachable storytelling, frequently illustrated with concrete examples and thoughtful storytelling that appeals to both practitioners and curious learners. Notable strengths include clear explanations, a knack for connecting historical ideas to current capabilities, and a c... more
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Linear Digressions launched 11 years ago and published 298 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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