# Emmanuel Ameisen

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Emmanuel Ameisen | Building Machine Learning Powered Apps

Link to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1264589958146174976?s=20 Video Version: https://youtu.be/ctss0hcD9SE Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Emmanuel Ameisen, ML engineer at…

Emmanuel Ameisen, Head of AI at Insight, on Building a Semantic Search System for Images

On this week’s podcast, Wes Reisz talks to Emmanuel Ameisen, head of AI for Insight Data Science, about building a semantic search system for images using convolution neural networks and word embeddings, how you can build on the work done by companies like Google, and then explores where the gaps a…

Continuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85

MLOps Coffee Sessions #85 with Emmanuel Ameisen, Continuous Deployment of Critical ML Applications. Join the Community: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTJoinIn…

Practical Production ML with Emmanuel Ameisen

This week I spoke with Emmanuel Ameisen, a data scientist and ML engineer currently based at Stripe. Emmanuel also wrote an excellent O'Reilly book called "Building Machine Learning Powered Applications", a book I find myself often returning to for inspiration and that I was pleased to get the chan…

Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727

In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model Computational Graphs" and "On the Biology of a Large Language Model." Emmanuel explains how his team developed mechanistic interpretability methods t…

AI Interpretability

In 1507, John Damian strapped on wings covered with chicken feathers and leapt from Scotland’s Stirling Castle. He broke his thigh upon landing and later blamed his failure on not using eagle feathers. For centuries, would-be aviators repeated this pattern: they copied birds’ external appearance wi…

Emmanuel Ameisen on LLM Interpretability

In this episode, Ben Lorica and Anthropic interpretability researcher Emmanuel Ameisen get into the work Emmanuel’s team has been doing to better understand how LLMs like Claude work. Listen in to find out what they’ve uncovered by taking a microscopic look at how LLMs function—and just how far the…

How Language Models Actually Think

Emmanuel Ameisen, an interpretability researcher at Anthropic, joins the podcast to demystify how large language models work. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·…

Cracking LLMs Open: Emmanuel Ameisen Live with Tim O’Reilly

Anthropic's interpretability team studies Claude's internals the way neuroscientists study a brain, but the science is younger, messier, and far less mapped. Emmanuel Ameisen has been part of that effort for the last two years, and at O'Reilly's recent Foo Camp, he shared some of what’s happening i…

Inside the black box of AI: How AI models actually think | Emmanuel Ameisen (Anthropic)

Emmanuel Ameisen is an interpretability researcher at Anthropic, where he looks inside LLMs like Claude to understand how they think. Before joining Anthropic, he spent years in applied ML at Stripe and Insight, and is the author of Building Machine Learning Powered Applications. His research has p…