
Free Daily Podcast Summary
by Vahe Hagopian, Taka Hasegawa, Farrukh Rahman
A show where three machine learning enthusiasts talk about recent papers and developments in machine learning. Watch our video on YouTube https://www.youtube.com/@argmaxfm
The most recent episodes — sign up to get AI-powered summaries of each one.
In this episode we talk about the paper "Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, Jeff Dean.
We talk about Low Rank Approximation for fine tuning Transformers. We are also on YouTube now! Check out the video here: https://youtu.be/lLzHr0VFi3Y
In this episode we discuss the paper "Training language models to follow instructions with human feedback" by Ouyang et al (2022). We discuss the RLHF paradigm and how important RL is to tuning GPT.
This week we talk about Whisper. It is a weakly supervised speech recognition model.
We talk about AlphaTensor, and how researchers were able to find a new algorithm for matrix multiplication.
In this episode we talked about "Implicit Neural Representations with Periodic Activation Functions" and the strength of periodic non-linearities.
In this episode we discuss this video: https://youtu.be/jPCV4GKX9Dw How Tesla approaches collision detection with novel methods.
We discuss Sony AI's accomplishment of creating a novel AI agent that can beat professional racers in Gran Turismo. Some topics include: - The crafting of rewards to make the agent behave nicely - What is QR-SAC? - How to deal with "rare" experiences in the replay buffer Link to paper: https://www.nature.com/articles/s41586-021-04357-7
A show where three machine learning enthusiasts talk about recent papers and developments in machine learning. Watch our video on YouTube https://www.youtube.com/@argmaxfm
AI-powered recaps with compact key takeaways, quotes, and insights.
Get key takeaways from Argmax in a 5-minute read.
Stay current on your favorite podcasts without falling behind.
It's a free AI-powered email that summarizes new episodes of Argmax as soon as they're published. You get the key takeaways, notable quotes, and links & mentions — all in a quick read.
When a new episode drops, our AI transcribes and analyzes it, then generates a personalized summary tailored to your interests and profession. It's delivered to your inbox every morning.
No. Podzilla is an independent service that summarizes publicly available podcast content. We're not affiliated with or endorsed by Vahe Hagopian, Taka Hasegawa, Farrukh Rahman.
Absolutely! The free plan covers up to 3 podcasts. Upgrade to Pro for 15, or Premium for 50. Browse our full catalog at /podcasts.
Argmax publishes monthly. Our AI generates a summary within hours of each new episode.
Argmax covers topics including Science, Mathematics. Our AI identifies the specific themes in each episode and highlights what matters most to you.
Free forever for up to 3 podcasts. No credit card required.
Free forever for up to 3 podcasts. No credit card required.