Quentin Anthony

In this episode of The Cognitive Revolution, Nathan dives deep into the world of state space models with returning co-host Jason Meaux and special guest Quentin Anthony, Head of Model Training at Zyphra. Explore the cutting-edge Zamba 2-7b model, which combines selective state space and attention mechanisms. Uncover practical insights on model training, architectural choices, and the challenges of scaling AI. From learning schedules to hybrid architectures, loss metrics to context length extension, this technical discussion covers it all. Don't miss this in-depth conversation on the future of personalized, on-device AI.Check out more about Zyphra and Jason Meaux here:Zyphra's website: https://www.zyphra.comZamba2-7B Blog: https://www.zyphra.com/post/zamba2-7bZamba2 GitHub: https://github.com/Zyphra/Zamba2Tree attention: https://www.zyphra.com/post/tree-attention-topology-aware-decoding-for-long-context-attention-on-gpu-clustersJason's Meaux Twitter: https://x.com/KamaraiCodeJason's Meaux website: https://www.statespace.infoBe notified early when Turpentine's drops new publication: https://www.turpentine.co/exclusiveaccessSPONSORS:Weights & Biases RAG++: Advanced training for building production-ready RAG applications. Learn from experts to overcome LLM challenges, evaluate systematically, and integrate advanced features. Includes free Cohere credits. Visit https://wandb.me/cr to start the RAG++ course today.Shopify: Shopify is the world's leading e-commerce platform, offering a market-leading checkout system and exclusive AI apps like Quikly. Nobody does selling better than Shopify. Get a $1 per month trial at https://shopify.com/cognitiveNotion: Notion offers powerful workflow and automation templates, perfect for streamlining processes and laying the groundwork for AI-driven automation. With Notion AI, you can search across thousands of documents from various platforms, generating highly relevant analysis and content tailored just for you - try it for free at https://notion.com/cognitiverevolutionLMNT: LMNT is a zero-sugar electrolyte drink mix that's redefining hydration and performance. Ideal for those who fast or anyone looking to optimize their electrolyte intake. Support the show and get a free sample pack with any purchase at https://drinklmnt.com/tcrCHAPTERS:(00:00:00) Teaser(00:00:42) About the Show(00:01:05) About the Episode(00:03:09) Introducing Zyphra(00:07:28) Personalization in AI(00:12:48) State Space Models & Efficiency (Part 1)(00:19:22) Sponsors: Weights & Biases RAG++ | Shopify(00:21:26) State Space Models & Efficiency (Part 2)(00:22:23) Dense Attention to Shared Attention(00:29:41) Zyphra's Early Bet on Mamba (Part 1)(00:33:18) Sponsors: Notion | LMNT(00:36:00) Zyphra's Early Bet on Mamba (Part 2)(00:37:22) Loss vs. Model Quality(00:44:53) Emergence & Grokking(00:50:06) Loss Landscapes & Convergence(00:56:55) Sophia, Distillation & Secrets(01:09:00) Competing with Big Tech(01:23:50) The Future of Model Training(01:30:02) Deep Dive into Zamba 1(01:34:24) Zamba 2 and Mamba 2(01:38:56) Context Extension & Memory(01:44:04) Sequence Parallelism(01:45:44) Zamba 2 Architecture(01:53:57) Mamba Attention Hybrids(02:00:00) Lock-in Effects(02:05:32) Mamba Hybrids in Robotics(02:07:07) Ease of Use & Compatibility(02:12:10) Tree Attention vs. Ring Attention(02:22:02) Zyphra's Vision & Goals(02:23:57) OutroSOCIAL LINKS:Website: https://www.cognitiverevolution.aiTwitter (Podcast): https://x.com/cogrev_podcastTwitter (Nathan): https://x.com/labenzLinkedIn: https://www.linkedin.com/in/nathanlabenz/

Quentin Anthony, Head of Model Training at Zyphra and EleutherAI contributor, dives into the surprising findings of METR’s study on AI coding tools. He discusses how developers often feel productive using AI but may actually slow down. Quentin emphasizes the importance of self-reflection in coding practices to avoid bloated code and suggests strategies for effective AI integration. He also explores the concept of 'context rot' and advocates for a tailored approach to using AI tools based on specific tasks to enhance efficiency.