DeepSeek系列模型发展历程 ➢ 训练框架:HAI-LLM ➢ 语言大模型:DeepSeekLLM/V2/V3、Coder/Coder-V2、Math ➢ 多模态大模型:DeepSeek-VL ➢ 推理大模型:DeepSeek-R1 DeepSeek 实现了较好的训练框架与数据准备 ➢ 训练框架 HAI-LLM(发布于2023年6月) ➢ 大规模深度学习训练框架,支持多种并行策略 ➢...
deepseek-coder 未知,总共训练2Btokens,按照epoch在2-5之间推算,数据量大致为400M-1B之间。 comprises helpful and impartial human instructions For training, we use a cosine schedule with 100 warm-up steps and an initial learning rate 1e-5. We also use a batch size of 4M tokens and 2B tokens...
模型演化 (1)使用DeepSeek-Coder-Base-v1.5 7B参数初始化,然后在500B token上进行预训练,得到DeepSeekMath-Base。500B token=56% is from the DeepSeekMath Corpus, 4% from AlgebraicStack, 10% from arXiv, 20% is Github code, and the remaining 10% is natural language data from Common Crawl in ...
Replace the ['content'] with your instructions and the model's previous (if any) responses, then the model will generate the response to the currently given instruction. You are an AI programming assistant, utilizing the DeepSeek Coder model, developed by DeepSeek Company, and you only answer...
LeetCode 测试数据将很快与 DeepSeek Coder 技术报告一起发布。 匈牙利国家高中考试:根据 Grok-1,我们使用匈牙利国家高中考试评估了模型的数学能力。该考试包括 33 道题,模型的分数是通过人工注释确定的。我们遵循solution.pdf中的评分指标来评估所有模型。 评估后的指令:2023 年 11 月 15 日,谷歌发布了评估数据集...
DeepSeek-Coder-V2: With a heavy focus on developers, Coder-V2 set its foot in the AI game in June 2024. The model has 236 billion parameters (21 billion active per token), supports 338 programming languages, and a 128,000-token context window (to hand...
可以网页访问 https://chat.deepseek.com/ 开始对话,或者手机上下载 DeepSeek APP 开始对话。 需要国内手机号注册使用。它目前只支持文本对话,不能绘画,做视频,或写歌。 因为专注,所以专业。试着跟它聊两句,你就能体验到当前顶级大模型,能理解你的意图,超预期的回复。使用DeepSeek要注意什么?当前最火的是Deep...
DeepSeekCoder-V2,wealsoincorporatetheFIMstrategyinthepre-trainingofDeepSeek-V3.To bespecific,weemploythePrefix-Suffix-Middle(PSM)frameworktostructuredataasfollows: |fim_begin|pre|fim_hole|suf|fim_end|middle|eos_token|. Thisstructureisappliedatthedocumentlevelasapartofthepre-packingprocess.TheFIM strat...
2022年3月,OpenAI发布InstructGPT论文《Training language models to follow instructions with human feedback》,标志着RLHF进入大规模工业化应用阶段。其技术架构分为三阶段演进: 阶段架构: 关键创新: 数据飞轮设计:构建包含13万指令样本的InstructGPT数据集,涵盖开放式生成、分类、编辑等多元任务 ...
GPT-3格StarCoder Codex际BAA!CPM-2 GFLANCodeGen2 TO9-10GLaMDA AnthropicAHyperCLOVANAVERanspurYuan1.06ChatGLM WebGPT11-12AlphaCodeTDFalcon Ernie3.0TitanInstructGPT际2022ChinchillaGPaLM2 · CodeGenGUL2SparrowInternLM GopherO1-3PythiaQwen2 GLaMMT-NLGGPaLMcFlan-T5um-smsQwen ...