From d473a50f46e6e9742e996b1c0d7d3719e7fd6bdf Mon Sep 17 00:00:00 2001 From: chanajii614023 Date: Sun, 6 Apr 2025 18:41:37 +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..9c0b573 --- /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://thebigme.cc3000) DeepSeek-R1, an LLM fine-tuned with support knowing (RL) to enhance reasoning ability. DeepSeek-R1 [attains outcomes](https://ehrsgroup.com) on par with [OpenAI's](https://git.lotus-wallet.com) o1 design on numerous standards, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of specialists (MoE) design recently open-sourced by DeepSeek. This base model is fine-tuned utilizing Group Relative Policy Optimization (GRPO), [higgledy-piggledy.xyz](https://higgledy-piggledy.xyz/index.php/User:WinstonNajera5) a reasoning-oriented version of RL. The research study team likewise performed understanding [distillation](https://www.activeline.com.au) from DeepSeek-R1 to [open-source](http://110.41.143.1288081) Qwen and Llama models and released several [variations](https://www.social.united-tuesday.org) of each \ No newline at end of file