1,751 subscribers
¡Desconecta con la aplicación Player FM !
Podcasts que vale la pena escuchar
PATROCINADO
Automated Reasoning to Prevent LLM Hallucination with Byron Cook - #712
Manage episode 454678204 series 2355587
Today, we're joined by Byron Cook, VP and distinguished scientist in the Automated Reasoning Group at AWS to dig into the underlying technology behind the newly announced Automated Reasoning Checks feature of Amazon Bedrock Guardrails. Automated Reasoning Checks uses mathematical proofs to help LLM users safeguard against hallucinations. We explore recent advancements in the field of automated reasoning, as well as some of the ways it is applied broadly, as well as across AWS, where it is used to enhance security, cryptography, virtualization, and more. We discuss how the new feature helps users to generate, refine, validate, and formalize policies, and how those policies can be deployed alongside LLM applications to ensure the accuracy of generated text. Finally, Byron also shares the benchmarks they’ve applied, the use of techniques like ‘constrained coding’ and ‘backtracking,’ and the future co-evolution of automated reasoning and generative AI.
The complete show notes for this episode can be found at https://twimlai.com/go/712.
745 episodios
Automated Reasoning to Prevent LLM Hallucination with Byron Cook - #712
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Manage episode 454678204 series 2355587
Today, we're joined by Byron Cook, VP and distinguished scientist in the Automated Reasoning Group at AWS to dig into the underlying technology behind the newly announced Automated Reasoning Checks feature of Amazon Bedrock Guardrails. Automated Reasoning Checks uses mathematical proofs to help LLM users safeguard against hallucinations. We explore recent advancements in the field of automated reasoning, as well as some of the ways it is applied broadly, as well as across AWS, where it is used to enhance security, cryptography, virtualization, and more. We discuss how the new feature helps users to generate, refine, validate, and formalize policies, and how those policies can be deployed alongside LLM applications to ensure the accuracy of generated text. Finally, Byron also shares the benchmarks they’ve applied, the use of techniques like ‘constrained coding’ and ‘backtracking,’ and the future co-evolution of automated reasoning and generative AI.
The complete show notes for this episode can be found at https://twimlai.com/go/712.
745 episodios
Todos los episodios
×
1 Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725 1:09:07

1 Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722 42:11

1 Inside s1: An o1-Style Reasoning Model That Cost Under $50 to Train with Niklas Muennighoff - #721 49:29

1 Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720 1:07:05

1 AI Trends 2025: AI Agents and Multi-Agent Systems with Victor Dibia - #718 1:44:59

1 Speculative Decoding and Efficient LLM Inference with Chris Lott - #717 1:16:30

1 Why Agents Are Stupid & What We Can Do About It with Dan Jeffries - #713 1:08:49
Bienvenido a Player FM!
Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.