Substacks recommended by Sebastian Raschka

Recommended by Sebastian Raschka

ML Engineer writing about GenAI | Open Sourcerer (BERTopic, PolyFuzz, KeyBERT) | Author of "Hands-On Large Language Models".

Artificial Intelligence Made Simple

By Devansh

Covering the important ideas in AI from all angles- technical, social, and economic. Read in over 180 countries. Useful to everyone who wants to learn AI. Critical to anyone trying to see what happens next. Sister Publication to Tech Made Simple

AI: A Guide for Thinking Humans

By Melanie Mitchell

I write about interesting new developments in AI.

I really enjoyed reading the insightful essays that discuss the limitations of current AI language models.

- Sebastian Raschka

NLP News

By Sebastian Ruder

Regular analyses of advances in natural language processing and machine learning.

The Palindrome

By Tivadar

mathematics ∪ machine learning

Deep (Learning) Focus

By Cameron R. Wolfe

I contextualize and explain important topics in AI research.

Hands-down my favorite newsletter for technical deep learning content!

- Sebastian Raschka

Latent.Space

By swyx & Alessio

The AI Engineer newsletter + Top 10 US Tech podcast. Exploring AI UX, Agents, Devtools, Infra, Open Source Models. See https://latent.space/about for highlights from Chris Lattner, Andrej Karpathy, George Hotz, Simon Willison, Soumith Chintala et al!

Mindful Modeler

By Christoph Molnar

Better machine learning by thinking like a statistician. About model interpretation, paying attention to data, and always staying critical.

What I love about Christoph Molnar's writing is that his thinking is grounded in statistics and yet it's super accessible to a broad audience. Highly recommend!

- Sebastian Raschka

Underfitted

By Santiago

Short, fundamental ideas that will help you engineer machine learning systems.

AI Supremacy

By Michael Spencer

News at the intersection of Artificial Intelligence, technology and business including Op-Eds, research summaries, guest contributions and valuable info about A.I. startups.

The Gradient

Articles, interviews, and news coverage about AI brought to you by a team of AI researchers and builders.

Long-term fan of Daniel's blog and newsletter. Great resource for staying up to date with all things machine learning!

- Sebastian Raschka

Interconnects

By Nathan Lambert

The cutting edge of AI, from inside the frontier AI labs, minus the hype. The border between high-level and technical thinking. Read by leading engineers, researchers, and investors on Wednesday mornings.

Good and timely coverage of LLM related happenings with a nice focus on evaluations and RLHF research.

- Sebastian Raschka

Data Machina

By Carlos

A weekly deep dive into the latest AI / ML research, projects & repos.