From 84e800d6f4f68c0628b1d2fbad5fb4bec1177db1 Mon Sep 17 00:00:00 2001 From: simayount67128 Date: Sat, 5 Apr 2025 21:00:35 +0200 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..d69f66b --- /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 with reinforcement knowing (RL) to improve thinking . DeepSeek-R1 attains results on par with OpenAI's o1 design on numerous standards, [consisting](https://redebuck.com.br) of MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mix of specialists (MoE) model just recently open-sourced by DeepSeek. This base design is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](http://39.104.23.773000) of RL. The research study group also [carried](http://git.r.tender.pro) out understanding distillation from DeepSeek-R1 to open-source Qwen and Llama models and [released](https://onthewaytohell.com) several [variations](https://gogs.eldarsoft.com) of each \ No newline at end of file