From fcd44d53e4f2ed45bfe31290cdf4fa5c3238622f Mon Sep 17 00:00:00 2001 From: jocelynx16797 Date: Wed, 5 Mar 2025 10:00:58 +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..61a0524 --- /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](https://www.diekassa.at) ability. DeepSeek-R1 attains results on par with OpenAI's o1 model on numerous standards, including MATH-500 and [SWE-bench](https://vybz.live).
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of specialists (MoE) model recently [open-sourced](https://learninghub.fulljam.com) by DeepSeek. This base model is fine-tuned using Group Relative Policy Optimization (GRPO), a reasoning-oriented variant of RL. The research study group also performed understanding distillation from DeepSeek-R1 to open-source Qwen and [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:IslaVandermark) Llama designs and released several variations of each \ No newline at end of file