Andriy Burkov - The TRUTH About Large Languag...

In this episode, I speak with Jessica Hall. Jess is the Chief Product Officer at Just Eat Takeaway, a global leader in the on-demand delivery space. With a professional pedigree that includes leadership roles at UK retail giants like Tesco, Argos, and Sainsbury's, Jess brings a w ...  Show more

In this episode, I'm joined by the returning Michele Hansen, co-founder and CEO of Geocodio and author of Deploy Empathy, now out with a second edition. Michele brings deep experience as a former product manager turned founder, and has spent over a decade helping teams understand ...  Show more

AIs built on Large Language Models have wowed by producing particularly fluent text. However, their ability to do this is limited in many languages. As the data and resources used to train a model in a specific language drops, so does the performance of the model, meaning that fo ...  Show more

A groundbreaking Harvard study trained AI on 10 million solar systems and found it perfectly predicted orbits but completely failed to understand gravity, raising questions about whether LLMs can develop true world models. While companies pour billions into scaling, Meta's Yann L ...  Show more

When we think about machine learning today we often think in terms of immense scale — large language models that require huge amounts of computational power, for example. But one of the most interesting innovations in machine learning right now is actually happening on a really s ...  Show more

Hongyi Wang, a Senior Researcher at the Machine Learning Department at Carnegie Mellon University, joins us. His research is in the intersection of systems and machine learning. He discussed his research paper, Cuttlefish: Low-Rank Model Training without All the Tuning, on tod ...