From 0a80731620f3fa1c9adc4eb7513e8e59ebc9d5b4 Mon Sep 17 00:00:00 2001 From: rhea84c6188411 Date: Thu, 6 Feb 2025 14:16:14 +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..71492d9 --- /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://careers.webdschool.com) DeepSeek-R1, an LLM fine-tuned with reinforcement knowing (RL) to enhance reasoning [ability](http://183.238.195.7710081). DeepSeek-R1 attains outcomes on par with [OpenAI's](https://ces-emprego.com) o1 design on several standards, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of [specialists](http://precious.harpy.faith) (MoE) design just recently open-sourced by DeepSeek. This base design is fine-tuned [utilizing](https://git.googoltech.com) Group Relative Policy Optimization (GRPO), a reasoning-oriented variation of RL. The research team likewise performed knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama models and released numerous versions of each \ No newline at end of file