How test-time scaling unlocks hidden reasoning abilities in small language models (and allows them to outperform LLMs)
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Together AI’s $305M bet: Reasoning models like DeepSeek-R1 are increasing, not decreasing, GPU demand
The demands of DeepSeek's advanced reasoning capabilities are pushing enterprises toward Together…
Too many models, too much confusion: OpenAI pledges to simplify its product line
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Less supervision, better results: Study shows AI models generalize more effectively on their own
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Neurobiologically Inspired Long-Term Memory for Large Language Models
[Submitted on 23 May 2024 (v1), last revised 14 Jan 2025 (this…
DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same
DeepSeek's R1 model release and OpenAI's new Deep Research product will push…
Not every AI prompt deserves multiple seconds of thinking: how Meta is teaching models to prioritize
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AMD Explains How to run DeepSeek R1 Distilled Reasoning Models on AMD Ryzen AI and Radeon GPUs
DeepSeek R1 Distilled Reasoning models use chain-of-thought reasoning to analyze complex prompts…
Hugging Face shrinks AI vision models to phone-friendly size, slashing computing costs
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Tencent/Hunyuan3D-2: High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
中文阅读 “ Living out everyone’s imagination on creating and manipulating 3D assets.”…
Ask HN: Is anyone doing anything cool with tiny language models?
I simply use it to de-anonymize code that I typed in via…
