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- https://openai.com/index/learning-to-reason-with-llms/ 1525 comments
- [2501.12948] DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning https://arxiv.org/abs/2501.12948 1056 comments
- AI models collapse when trained on recursively generated data | Nature https://www.nature.com/articles/s41586-024-07566-y 851 comments
- ggml : x2 speed for WASM by optimizing SIMD https://simonwillison.net/2025/Jan/27/llamacpp-pr/ 739 comments
- wordfreq/SUNSET.md at master · rspeer/wordfreq · GitHub https://github.com/rspeer/wordfreq/blob/master/SUNSET.md 583 comments
- https://unsloth.ai/blog/deepseekr1-dynamic 347 comments
- Uncensor any LLM with abliteration https://huggingface.co/blog/mlabonne/abliteration 290 comments
- Monkey selfie copyright dispute - Wikipedia https://en.wikipedia.org/wiki/Monkey_selfie_copyright_dispute 6 comments
- deepseek-ai/DeepSeek-R1 · Hugging Face https://huggingface.co/deepseek-ai/DeepSeek-R1 6 comments
- Mixture of Experts Explained https://huggingface.co/blog/moe 2 comments
- DeepSeek-V3/DeepSeek_V3.pdf at main · deepseek-ai/DeepSeek-V3 · GitHub https://github.com/deepseek-ai/DeepSeek-V3/blob/main/DeepSeek_V3.pdf 2 comments
- How Chinese A.I. Start-Up DeepSeek Is Competing With OpenAI and Google - The New York Times https://www.nytimes.com/2025/01/23/technology/deepseek-china-ai-chips.html 1 comment
- Prompt engineering - Wikipedia https://en.wikipedia.org/wiki/Prompt_engineering 0 comments
- Xe Iaso https://xeiaso.net/ 0 comments
- AI slop - Wikipedia https://en.wikipedia.org/wiki/AI_slop 0 comments
- [2405.04434] DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model https://arxiv.org/abs/2405.04434 0 comments
- DeepSeek-R1/DeepSeek_R1.pdf at main · deepseek-ai/DeepSeek-R1 · GitHub https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf 0 comments
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