Edge 433: Samba, Unlimited Context Windows and State Space Models
Was this email forwarded to you? Sign up here Edge 433: Samba, Unlimited Context Windows and State Space ModelsHow long of a context can SSM models process?
In this issue:
💡 ML Concept of the Day: SAMBA is an SSM for Long Context WindowsModeling sequences with infinite context length is a challenging problem in AI. Many previous methods face difficulties due to either high computational costs or limited ability to handle sequences longer than those used in training. Samba offers a new solution with its hybrid architecture, blending Mamba, a selective State Space Model (SSM), with Sliding Window Attention (SWA) to tackle these issues. Samba combines the strengths of Mamba and SWA to efficiently model long sequences. This architecture compresses sequences into hidden states for recurrent processing, while maintaining the ability to recall specific memories through the attention mechanism. By integrating these techniques, Samba achieves efficient computation with linear-time complexity, making it capable of generalizing to longer sequences while ensuring precise memory recall... Subscribe to TheSequence to unlock the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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Edge 432: NVIDIA Created Minitron by Distilling Llama 3.1
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The two resulting models of 8B and parameters respectively highlight the potential of distillation. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Edge 431: Meet the Multimodal State Space Models
Tuesday, September 17, 2024
Extending SSMs behind language. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Some Non-Obvious Points About OpenAI 01
Sunday, September 15, 2024
Plus some major funding rounds by World Labs and Glean , Mistral's new release and more. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Edge 430: Learn About The AI Scientist, The Model that can Conduct Long Term Scientific Experimentation
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The framework combines different generative AI models to streamline scientific research from idea to paper. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
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