Shows
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Exploring the Biology of LLMs with Circuit Tracing with Emmanuel AmeisenIn 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 to understand the internal workings of Claude by replacing dense neural network components with sparse, interpretable alternatives. The conversation explores several fascinating discoveries about large language models, including how they plan ahead when writing poetry (selecting the rhyming word "rabbit" before crafting the sentence leading to it), perform mathematical calculations using unique algorithms, and process concepts across multiple...2025-04-141h 34
Le Serment d'AugustaJ’écouterai leurs histoires jusqu’au bout, 1/2* Un épisode réalisé avec le concours de Dre Michèle Levy-Soussan * Tout au long de leur carrière, les médecins font face à la mort de patient·es. Lorsque le traitement ne produit pas les effets escomptés, ou quand il n'y a pas de traitement possible, alors les médecins peuvent se sentir impuissants, inutiles. Pourtant, c'est aussi le rôle des professionnel·les de santé d'accompagner les patient·es, et leurs proches, dans la mort : soins palliatifs, projet de fin de vie… Alors, comment faire le deuil de ses patient·es ? Comment trouver les mots justes pour ann...2024-08-311h 02
Was jetzt?Wahlüberraschung in FrankreichBei der Parlamentswahl in Frankreich hat am Sonntag überraschend das linke Bündnis Neue Volksfront (NFP) gewonnen. Der rechtsextreme Rassemblement National (RN), der im ersten Wahlgang am 30. Juni mit großem Abstand gewonnen hat, ist auf den dritten Platz zurückgefallen und wird nicht, wie viele befürchtet hatten, die Regierung übernehmen können. Auf dem zweiten Platz liegt – auch das ist eine Überraschung – das Regierungsbündnis von Präsident Emmanuel Macron. Ist das jetzt die Rückkehr der französischen Linken? Nicht ganz, sagt unser Frankreichkorrespondent Matthias Krupa. Und da keine der Parteien oder Bündnisse die absolute Mehrheit erreicht...2024-07-0814 min
Pipeline ConversationsPractical Production ML with Emmanuel AmeisenThis 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 chance to reread in preparation for our discussion.
Emmanuel has previously worked at Insight Data Science where he was involved in mentoring and guiding dozens of data scientists who were working on building their ML portfolio projects. He brings a wealth of experience to the table and I'm really...2022-03-1758 min
MLOps.communityContinuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85MLOps Coffee Sessions #85 with Emmanuel Ameisen, Continuous Deployment of Critical ML Applications.
// Abstract
Finding an ML model that solves a business problem can feel like winning the lottery, but it can also be a curse. Once a model is embedded at the core of an application and used by real users, the real work begins. That's when you need to make sure that it works for everyone, that it keeps working every day, and that it can improve as time goes on. Just like building a model is all about data work, keeping a model alive...2022-03-1044 min
Software MisadventuresEmmanuel Ameisen - On production ML at Stripe scale, leading 100+ ML projects, iterating fast, and much more - #11Having led 100+ ML projects at Insight and built ML systems at Stripe scale, Emmanuel joins the show to chat about how to build useful ML products and what happens next when the model is in production. Throughout the conversation, Manu shares stories and advice on topics like the common mistakes people make when starting a new ML project, what’s similar and different about the lifecycle of ML systems compared to traditional software, and writing a technical book.2021-06-111h 12
Towards Data Science48. Emmanuel Ameisen - Beyond the jupyter notebook: how to build data science productsData science is about much more than jupyter notebooks, because data science problems are about more than machine learning.
What data should I collect? How good does my model need to be to be “good enough” to solve my problem? What form should my project take for it to be useful? Should it be a dashboard, a live app, or something else entirely? How do I deploy it? How do I make sure something awful and unexpected doesn’t happen when it’s deployed in production?
None of these questions can be answered by importing sklearn...2020-08-2645 min
Pensamiento DigitalEpisodio 26: Tecnología e Ingeniería en proyectos basados en Machine Learning, con Luis MartínEn este episodio contamos con Luis Martín para hablar sobre las diferentes maneras de enfocar un proyecto de Machine Learning, el estado actual de las Tecnologías para poner estos proyectos en producción, y los enfoques de Ingeniería del Software que se pueden aplicar.
En nuestra sección de noticias comentamos cómo Uber está innovando en la creación de mundos virtuales para entrenar vehículos autónomos, y también de Red Bot Chilli Peppers y canciones “casi" creadas con IA.
Referencias:
"Building Machine Learning Powered Applications: Going from Idea to Product...2020-06-251h 27
Pensamiento DigitalEpisodio 26: Tecnología e Ingeniería en proyectos basados en Machine Learning, con Luis MartínEn este episodio contamos con Luis Martín para hablar sobre las diferentes maneras de enfocar un proyecto de Machine Learning, el estado actual de las Tecnologías para poner estos proyectos en producción, y los enfoques de Ingeniería del Software que se pueden aplicar. En nuestra sección de noticias comentamos cómo Uber está innovando en la creación de mundos virtuales para entrenar vehículos autónomos, y también de Red Bot Chilli Peppers y canciones "casi" creadas con IA. Referencias: * "Building Machine Learning Powered Applications: Going from Idea to Product", Emmanuel Ameisen, Ed. O'Reilly...2020-06-251h 27
Pensamiento DigitalEpisodio 26: Tecnología e Ingeniería en proyectos basados en Machine Learning, con Luis MartínEn este episodio contamos con Luis Martín para hablar sobre las diferentes maneras de enfocar un proyecto de Machine Learning, el estado actual de las Tecnologías para poner estos proyectos en producción, y los enfoques de Ingeniería del Software que se pueden aplicar.
En nuestra sección de noticias comentamos cómo Uber está innovando en la creación de mundos virtuales para entrenar vehículos autónomos, y también de Red Bot Chilli Peppers y canciones “casi" creadas con IA.
Referencias:
* "Building Machine Learning Powered Applications: Going from Idea to Product", Emmanuel Ameisen, Ed. O'Reilly
* "C...2020-06-251h 27
Chai Time Data ScienceEmmanuel Ameisen | Building Machine Learning Powered AppsLink to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1264589958146174976?s=20Video Version: https://youtu.be/ctss0hcD9SESubscribe here to the newsletter: https://tinyletter.com/sanyambhutaniIn this episode, Sanyam Bhutani interviews Emmanuel Ameisen, ML engineer at Stripe, and the author of the O'Reilly book: "Building Machine Learning Powered Applications: Going from idea to product"In this interview they talk about Emmanuel's journey into machine learning, and how his journey through the different roles led him to writing the book.The book is one of...2020-05-2458 min
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Turning Ideas into ML Powered Products with Emmanuel AmeisenToday we’re joined by Emmanuel Ameisen, machine learning engineer at Stripe, and author of the recently published book “Building Machine Learning Powered Applications; Going from Idea to Product.” In our conversation, we discuss structuring end-to-end machine learning projects, debugging and explainability in the context of models, the various types of models covered in the book, and the importance of post-deployment monitoring. 2020-02-1742 min
C’est bon pour la santé (archives) - Canal M, la voix de l'inclusionFreiner la maladie d’Alzheimer et la médecine du futurLes avancées des recherches sur la maladie d’Alzheimer avec Stephen Cunnane, professeur à la Faculté de médecine et des sciences de la santé de l’Université de Sherbrooke et le rôle que l’intelligence artificielle sera appelée à jouer dans la médecine de l’avenir avec l’auteur Emmanuel Ameisen Barruel.
Animation : François Barruel et Camille Chai
Chroniqueur historique : Eliott Boulate
Recherchiste : Catherine Bourderon
Technique et habillage sonore : Jean-Sébastien Laliberté
2020-01-291h 24
The InfoQ PodcastEmmanuel Ameisen, Head of AI at Insight, on Building a Semantic Search System for ImagesOn 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 are and where you need to train your own models. The podcast wraps up with a discussion around how you get something like this into production.
Why listen to this podcast:
- A common use case is the ability to search for similar things - I want to find an...2018-10-0835 min