From 4030ee2278a9a7ce525f446a7c1fd7f112321c78 Mon Sep 17 00:00:00 2001 From: francescamccle Date: Mon, 17 Feb 2025 14:48:05 -0500 Subject: [PATCH] Add 'DeepSeek Open-Sources DeepSeek-R1 LLM with Performance Comparable To OpenAI's O1 Model' --- ...R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md diff --git a/DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md b/DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md new file mode 100644 index 0000000..4942a0c --- /dev/null +++ b/DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md @@ -0,0 +1,2 @@ +
[DeepSeek open-sourced](https://fototik.com) DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to improve thinking capability. DeepSeek-R1 attains results on par with [OpenAI's](https://3.123.89.178) o1 design on numerous benchmarks, including MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of [experts](https://git.guildofwriters.org) (MoE) model recently open-sourced by DeepSeek. This base model is fine-tuned utilizing Group [Relative Policy](https://www.dynamicjobs.eu) [Optimization](https://www.luckysalesinc.com) (GRPO), a reasoning-oriented variant of RL. The research [study team](https://jobsantigua.com) also carried out [understanding distillation](https://vieclam.tuoitrethaibinh.vn) from DeepSeek-R1 to open-source Qwen and Llama models and launched [numerous variations](https://itheadhunter.vn) of each \ No newline at end of file