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2024最新黑马博学谷AI大模型训练营1期，是一套从基础理论到项目实战完整覆盖的大模型学习课程。课程内容紧跟当前AI技术趋势，围绕大模型核心知识与行业应用展开，适合希望系统入门并掌握大模型落地能力的开发者与学习者。
课程核心模块一览：
六大行业项目实战，覆盖多领域应用场景：
多模态与主流平台应用：
课程配套资料丰富，包含各阶段直播课件、代码示例、预训练模型及实战数据集，如ChatGLM-6B、m3e-base、bert-base-chinese等模型资源，以及LangChain、P-Tuning、PET等代码实践内容，帮助学员在动手操作中巩固所学。
整体来看，该训练营内容体系完整，从理论铺垫到项目落地层层递进，兼顾技术深度与行业广度，是学习AI大模型应用与开发的实用课程资源。
星火大模型（博学谷）.pdf12.1MB
translate_in_many_style.zip79.31MB清洗emoji数据的demo数据集.zip219.67KBsample-text-dialog-unsort-jsonl.zip154.3KB03-千帆大模型的使用.zip12.77MB02-千帆大模型简介.pdf14.33MB01-文心一言的使用.zip22MB
model-plaidshirtprogrammer.ckpt1.99GBglass.safetensors36.11MB
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1-9 大模型提示词工程应用.mp4944.25MB1-8 大模型Prompt-Tuning方法进阶.mp4814.26MB1-7 主流大模型介绍及大模型Prompt-Tuning方法入门.mp4663.93MB1-6 主流大模型介绍及大模型Prompt-Tuning方法入门2.mp4593.42MB1-6 主流大模型介绍及大模型Prompt-Tuning方法入门.mp4276.36MB1-5 大模型主要类别架构.mp4410.13MB1-4 大模型基础知识.mp4429.47MB1-35 综合项目与项目路演+【拓展】AI论文导读与论文撰写.mp4356.81MB1-34 讯飞星火大模型+星火微调平台应用.mp4249.28MB1-33 讯飞星火大模型+星火微调平台应用.mp4370.1MB1-32 文心一言& 百度千帆大模型平台.mp4278.41MB1-31 文心一言& 百度千帆大模型平台.mp4206.23MB1-30 Stable Diffusion多模态大模型应用实战.mp4375.83MB1-3 大模型前置知识.mp4264.63MB1-29 Stable Diffusion多模态大模型应用实战.mp4579.4MB1-28 Stable Diffusion多模态大模型应用实战.mp4240.2MB1-27 Stable Diffusion多模态大模型应用实战.mp4352.22MB1-26 Stable Diffusion多模态大模型应用实战.mp4374.41MB1-25 【项目6】新媒体行业评论智能分类与信息抽取系统.mp4950.89MB1-24 【项目6】新媒体行业评论智能分类与信息抽取系统.mp4934.08MB1-23【项目5-2】新零售行业评价决策系统【基于BERT+P-Tuning方式】.mp4629.74MB1-22【项目5-2】新零售行业评价决策系统【基于BERT+P-Tuning方式】.mp41.33GB1-21【项目5-1】新零售行业评价决策系统【基于BERT+PET方式】.mp4836.85MB1-2 大模型前置知识.mp4534.85MB1-19 20 【项目4】大健康行业智能问诊系统.mp4395.83MB1-18 【项目4】大健康行业智能问诊系统(2024.03.10).mp4909.01MB1-17 【项目3】物流行业信息咨询智能问答系统(2024.03.07).mp4783.72MB1-16 【项目3】物流行业信息咨询智能问答系统 2024.03.05.mp4794.24MB1-15 【项目3】物流行业信息咨询智能问答系统.mp4468.04MB1-14 【项目3】物流行业信息咨询智能问答系统.mp41.48GB1-13 【项目2】电商领域虚拟试衣系统.mp4528.64MB1-12 【项目2】电商领域虚拟试衣系统.mp4397.96MB1-11 【项目1】金融行业动态风向评估.mp4662.98MB1-10 【项目1】金融行业动态风向评估.mp41.43GB1-1 开班仪式+Python前置课程串讲.mp4284.13MB
