From cda143f544078339032d3a9f914c9a222c284dce Mon Sep 17 00:00:00 2001 From: irvingcourtois Date: Sun, 9 Feb 2025 11:54:59 +0000 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..ca086c0 --- /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 DeepSeek-R1, an [LLM fine-tuned](https://63game.top) with reinforcement knowing (RL) to enhance [thinking ability](https://www.selfhackathon.com). DeepSeek-R1 attains outcomes on par with OpenAI's o1 design on numerous standards, including MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of experts (MoE) model just recently open-sourced by DeepSeek. This base design is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](http://103.205.66.473000) of RL. The research study team likewise carried out knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama models and [launched numerous](https://howtolo.com) variations of each \ No newline at end of file