INFORMAZIONI SU QUESTO EPISODIO
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 · RSS.
Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Inglese
Stati Uniti
TRASCRIZIONE 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
CERCA TRA GLI EPISODI PASSATI
Cerca gli episodi passati di The Data Exchange with Ben Lorica.
ALTRI EPISODI IN QUESTO PODCAST
Ben Lorica talks with Abi Aryan, AI engineer, author of LLMOps: Managing Large Language Models in Production, about how deploying generative AI is turning into a distributed systems problem.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
Subscribe: Apple · Spotify …
Ben Lorica talks with David Fattal, founder and CTO of Leia Inc., about why stereo data could become an important ingredient for AI systems that need to understand the physical world.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
Subscribe: Apple · Spotify · Overc…
Ben Lorica speaks with Andrew Dai, co-founder and CEO of Elorian AI, about why today’s frontier models still struggle with complex visual reasoning and why simply scaling language-centric architectures may not solve the problem.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.subs…
Ben Lorica is joined by Evangelos Simoudis for a wide-ranging discussion on how AI is reshaping knowledge work: from the Navier-Stokes controversy and the need to protect intellectual property to whether workers should still be expected to understand and defend AI-generated work.
Subscribe to the…
Richard Ho, VP of Hardware at OpenAI, explains how the team built Jalapeño, its first custom AI accelerator, and why controlling more of the hardware stack could lower inference costs and improve performance.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
Subscribe…
Dichiarazione di non responsabilità: Il podcast e la grafica incorporati in questa pagina provengono da Ben Lorica, che è di proprietà del suo proprietario e non è affiliato o approvato da Listen Notes, Inc.
MODIFICA
Grazie, ci hai aiutato a mantenere aggiornato il database dei podcast.
