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Tencent Proposes a Training-Free Optimization Method: Achieving the Effect of Traditional 70,000 Yuan Fine-tuning with Only 120 Yuan Cost

Tencent released the Training-Free GRPO technology, which replaces parameter fine-tuning with an external knowledge base, achieving performance optimization under the condition of frozen model parameters. This method transforms empirical knowledge into token-level prior information, significantly reducing training costs, and achieves performance improvements comparable to expensive fine-tuning on the DeepSeek-V3.1-Terminus model.

12.9k 9 hours ago
Tencent Proposes a Training-Free Optimization Method: Achieving the Effect of Traditional 70,000 Yuan Fine-tuning with Only 120 Yuan Cost

DeepSeek-V3.1-Terminus Launches with Significant Performance Improvements and Enhanced Deep Reasoning Capabilities

DeepSeek released open-source model DeepSeek-V3.1-Terminus, fixing language inconsistencies and abnormal characters while enhancing programming and search agent performance. Benchmarks show superior performance in non-agent tasks.....

10.2k 3 days ago
DeepSeek-V3.1-Terminus Launches with Significant Performance Improvements and Enhanced Deep Reasoning Capabilities
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