From 6af47d21bb1ec1312e86817f7be7e1758327aa4d Mon Sep 17 00:00:00 2001 From: halemg20173581 Date: Thu, 13 Feb 2025 07:21:46 +0800 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..02b82e3 --- /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://travel-friends.net) DeepSeek-R1, an LLM fine-tuned with [support learning](https://c-hireepersonnel.com) (RL) to improve [thinking ability](https://almagigster.com). DeepSeek-R1 attains outcomes on par with [OpenAI's](https://git.chir.rs) o1 design on several benchmarks, including MATH-500 and [SWE-bench](https://axc.duckdns.org8091).
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of professionals (MoE) design recently open-sourced by [DeepSeek](https://ofalltime.net). This [base model](https://ibs3457.com) is fine-tuned using Group [Relative Policy](https://www.pkjobshub.store) Optimization (GRPO), a reasoning-oriented version of RL. The research group also performed understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released several versions of each \ No newline at end of file