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Deepseek Ai: The Samurai Approach

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Fannie Blamey 작성일25-02-11 08:47

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Ask for adjustments - Add new options or take a look at circumstances. Fill-In-The-Middle (FIM): One of many particular features of this mannequin is its skill to fill in lacking elements of code. What is behind DeepSeek-Coder-V2, making it so particular to beat GPT4-Turbo, Claude-3-Opus, Gemini-1.5-Pro, Llama-3-70B and Codestral in coding and math? DeepSeek-Coder-V2, costing 20-50x times less than different models, represents a significant improve over the unique DeepSeek-Coder, with more intensive coaching knowledge, larger and more environment friendly fashions, enhanced context handling, and advanced strategies like Fill-In-The-Middle and Reinforcement Learning. Training information: Compared to the original DeepSeek-Coder, DeepSeek-Coder-V2 expanded the coaching knowledge significantly by including an extra 6 trillion tokens, increasing the whole to 10.2 trillion tokens.

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