M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
The key idea Language models applied to reasoning have recently been shown to benefit from longer chain-of-thought sequences, which require the model to proc...
The key idea Language models applied to reasoning have recently been shown to benefit from longer chain-of-thought sequences, which require the model to proc...
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With their V3 and R1 models, DeepSeek sets a new state-of-the-art in open-weight models and trades benchmark to benchmark with the best models from Anthropic...
Vision-Language Models (VLMs) allow LLMs to “see”, but how do they work? In this post, we’ll walk through the model changes needed to turn an LLM into a VLM ...
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With the rapid advances in the capabilities of large language models (LLMs), there is an increasing need for efficient inference platforms that would enable ...
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Transformer-based LLMs seem mysterious, but they don’t need to. In this post, we’ll walk through a modern transformer LLM, Google’s Gemma, providing bare-bon...
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With their V3 and R1 models, DeepSeek sets a new state-of-the-art in open-weight models and trades benchmark to benchmark with the best models from Anthropic...
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With the rapid advances in the capabilities of large language models (LLMs), there is an increasing need for efficient inference platforms that would enable ...
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With their V3 and R1 models, DeepSeek sets a new state-of-the-art in open-weight models and trades benchmark to benchmark with the best models from Anthropic...
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My colleagues and I always get excited when, every once in a while, deep learning research throws up a fun little maths problem. Our recent work on u-μP does...
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TL;DR: Scaled dot product attention isn’t properly scaled, and that’s a good thing!
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Vision-Language Models (VLMs) allow LLMs to “see”, but how do they work? In this post, we’ll walk through the model changes needed to turn an LLM into a VLM ...
The key idea
With the rapid advances in the capabilities of large language models (LLMs), there is an increasing need for efficient inference platforms that would enable ...
Transformer-based LLMs seem mysterious, but they don’t need to. In this post, we’ll walk through a modern transformer LLM, Google’s Gemma, providing bare-bon...
The key idea
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The key idea Language models applied to reasoning have recently been shown to benefit from longer chain-of-thought sequences, which require the model to proc...
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With their V3 and R1 models, DeepSeek sets a new state-of-the-art in open-weight models and trades benchmark to benchmark with the best models from Anthropic...
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The key idea The central concept of Motion Prompting is to gain fine-grained control over video generation by conditioning a video diffusion model on spatio-...
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With the rapid advances in the capabilities of large language models (LLMs), there is an increasing need for efficient inference platforms that would enable ...
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My colleagues and I always get excited when, every once in a while, deep learning research throws up a fun little maths problem. Our recent work on u-μP does...
My colleagues and I always get excited when, every once in a while, deep learning research throws up a fun little maths problem. Our recent work on u-μP does...
TL;DR: Scaled dot product attention isn’t properly scaled, and that’s a good thing!
The key idea
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With the rapid advances in the capabilities of large language models (LLMs), there is an increasing need for efficient inference platforms that would enable ...
The key idea
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The key idea The central concept of Motion Prompting is to gain fine-grained control over video generation by conditioning a video diffusion model on spatio-...
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We are pleased to have announce we have open positions for Research Scientists and Engineers to join our team.
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Vision-Language Models (VLMs) allow LLMs to “see”, but how do they work? In this post, we’ll walk through the model changes needed to turn an LLM into a VLM ...
With their V3 and R1 models, DeepSeek sets a new state-of-the-art in open-weight models and trades benchmark to benchmark with the best models from Anthropic...
The key idea
The key idea
The key idea
The key idea Language models applied to reasoning have recently been shown to benefit from longer chain-of-thought sequences, which require the model to proc...