AI Trends 2024: Machine Learning & Deep Learn...

In this episode, Sam talks with Dev Rishi, GM of AI at Rubrik, about what happens when agents move beyond answering questions and start taking action across tools, systems, and business processes. We explore why the enterprise playbook of static guardrails plus human approval sta ...  Show more

As context windows grow into the millions of tokens, many AI practitioners are questioning whether retrieval-augmented generation (RAG) is still necessary. If modern models can ingest entire libraries of documents, why bother with retrieval at all? In this episode, Alex Bowcut, H ...  Show more

In this episode of High Theory, Matthew Kirschenbaum talks about txt, or text. Not texting, or textbooks, but text as a form of data that is feeding large language models. Will the world end in fire, flood, or text? In the full interview, Matthew recommended Tim Maughan’s novel I ...  Show more

Demand for computer power continues to soar, but can the hardware keep up? 

📚 Grokking Machine Learning by Luis: https://bit.ly/3TfQKtS 🌍 Cohere LLM University: https://docs.cohere.com/docs/llmuDr. Luis Serrano’s interest in mathematics started in high school when he participated in mathematical olympiads, representing his native Colombia. Later, he co ...  Show more

Welcome to episode #130 of Eye on AI with Mathew Lodge. In this episode, we explore the world of reinforcement learning and code generation. Mathew Lodge, the CEO of Diffblue, shares insights into how rei ...