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Latest AI news, models and releases from DeepSeek. ['DeepSeek', 'DeepSeek 3.1', 'DeepSeek-4-pro', 'DeepSeek API', 'deepseek-coder-v2', 'DeepSeek-Coder-V2-Lite', 'DeepSeek-GRM', 'DeepSeek large model', 'DeepSeekMath-V2', 'DeepSeekMoE', 'DeepSeek-Prover-V1.5-Base', 'DeepSeek-Prover-V2', 'DeepSeek-Prover-V2-671B', 'DeepSeek-Prover-V2-7B', 'DeepSeek R1', 'DeepSeek-R1', 'DeepSeek R1-0528', 'DeepSeek-R1-0528', 'DeepSeek-R1-671B', 'DeepSeek-R1-Distilled-Llama-70B', 'DeepSeek-R1-Distilled-Qwen-32B', 'DeepSeek-R1-Distill-Qwen-32B', 'DeepSeek-R1-Zero', 'DeepSeek R2', 'DeepSeek-R2', 'DeepSeek Sparse Attention (DSA)', 'DeepSeek V1', 'DeepSeek V2', 'DeepSeek-V2', 'DeepSeek-V2.5', 'DeepSeek V3', 'DeepSeek-V3', 'DeepSeek V3.1', 'DeepSeek V3.1-Terminus', 'DeepSeek v3.2', 'DeepSeek V3.2', 'DeepSeek-V3.2', 'DeepSeek V3.2-Exp', 'DeepSeek-V3-Base', 'DeepSeek V3/R1']

Research 🇷🇺

QuantCode-Bench: a new benchmark for evaluating LLMs' ability to generate executable algorithmic trading strategies

Researchers developed QuantCode-Bench, a benchmark to assess how well large language models (LLMs) can generate executable algorithmic trading strategies from textual specifications. The benchmark evaluates not only code correctness but also semantic alignment with the original trading idea through four stages: compilation, backtest, trade generation, and judge verification.

OpenAIOpenAI AnthropicAnthropic Google/DeepMindGoogle/DeepMind xAIxAI DeepSeekDeepSeek Alibaba/QwenAlibaba/Qwen Moonshot AIMoonshot AI
Habr — хаб NLP27.07 · 03:03
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