RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The Big Pitch with Jimmy Carr

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Romesh Ranganathan Pitches a Tearjerker with a Curse, a Meet Cute, and an Orangutan! 33:06

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Our guest this week is Romesh Rangathan! And his subgenre is… BRB Crying. Will Romesh deliver a beautiful and moving film pitch that makes Jimmy break down crying? Or will his idea be a fever dream of orangutans, ancient curses and having sex in front of animals? Listen in to find out! Listen on all podcast platforms and watch on the Netflix is a Joke YouTube Channel. The Big Pitch is a co-production by Netflix and BBC Studios Audio. Jimmy Carr is an award-winning stand-up comedian and writer, touring his brand-new show JIMMY CARR: LAUGHS FUNNY throughout the USA from May to November this year, as well as across the UK and Europe, before hitting Australia and New Zealand in early 2026. All info and tickets for the tour are available at JIMMYCARR.COM Production Coordinator: Becky Carewe-Jeffries Production Manager: Mabel Finnegan-Wright Editor: Stuart Reid Producer: Pete Strauss Executive Producer: Richard Morris Executive Producers for Netflix: Kathryn Huyghue, Erica Brady, and David Markowitz Set Design: Helen Coyston Studios: Tower Bridge Studios Make Up: Kit Hall Cameras: Daniel Spencer Sound: Charlie Emery Branding: Tim Lane Photography: James Hole Images supplied via Getty Images…

לפני שנה 57:09

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Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in high-stakes domains like financial services. We explore how RAG, contrary to some expectations, can inadvertently degrade model safety. We cover examples of unsafe outputs that can emerge from these systems, different approaches to evaluating these safety risks, and the potential reasons behind this counterintuitive behavior. Shifting to the application of generative AI in financial services, Sebastian outlines a domain-specific safety taxonomy designed for the industry's unique needs. We also explore the critical role of governance and regulatory frameworks in addressing these concerns, the role of prompt engineering in bolstering safety, Bloomberg’s multi-layered mitigation strategies, and vital areas for further work in improving AI safety within specialized domains.

The complete show notes for this episode can be found at https://twimlai.com/go/732.

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RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The complete show notes for this episode can be found at https://twimlai.com/go/732.

755 פרקים

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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לפני 19 ימים1:25:21

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Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles from theoretical physics. We explore the foundations of the Heavy-Tailed Self-Regularization (HTSR) theory that underpins it, which combines random matrix theory and renormalization group ideas to uncover deep insights about model training dynamics. Charles walks us through WeightWatcher’s ability to detect three distinct learning phases—underfitting, grokking, and generalization collapse—and how its signature “layer quality” metric reveals whether individual layers are underfit, overfit, or optimally tuned. Additionally, we dig into the complexities involved in fine-tuning models, the surprising correlation between model optimality and hallucination, the often-underestimated challenges of search relevance, and their implications for RAG. Finally, Charles shares his insights into real-world applications of generative AI and his lessons learned from working in the field. The complete show notes for this episode can be found at https://twimlai.com/go/734 .…

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Today, I’m excited to share a special crossover edition of the podcast recorded live from Google I/O 2025! In this episode, I join Shawn Wang aka Swyx from the Latent Space Podcast, to interview Logan Kilpatrick and Shrestha Basu Mallick, PMs at Google DeepMind working on AI Studio and the Gemini API, along with Kwindla Kramer, CEO of Daily and creator of the Pipecat open source project. We cover all the highlights from the event, including enhancements to the Gemini models like thinking budgets and thought summaries, native audio output for expressive voice AI, and the new URL Context tool for research agents. The discussion also digs into the Gemini Live API, covering its architecture, the challenges of building real-time voice applications (such as latency and voice activity detection), and new features like proactive audio and asynchronous function calling. Finally, don’t miss our guests’ wish lists for next year’s I/O! The complete show notes for this episode can be found at https://twimlai.com/go/733 .…

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732