Training Zamba: A Hybrid Model Master Class with Zyphra's 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.com
Zamba2-7B Blog: https://www.zyphra.com/post/zamba2-7b
Zamba2 GitHub: https://github.com/Zyphra/Zamba2
Tree attention: https://www.zyphra.com/post/tree-attention-topology-aware-decoding-for-long-context-attention-on-gpu-clusters
Jason's Meaux Twitter: https://x.com/KamaraiCode
Jason's Meaux website: https://www.statespace.info
Be notified early when Turpentine's drops new publication: https://www.turpentine.co/exclusiveaccess
SPONSORS:
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CHAPTERS:
(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
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Information
- Show
- Channel
- FrequencyUpdated weekly
- Published30 October 2024 at 07:00 UTC
- Length2h 25m
- Season1
- RatingClean