这本书《Build a Large Language Model (From Scratch)》由Sebastian Raschka撰写,书中强调了动手实践,主要使用PyTorch,不依赖现有的库,并通过大量图表和插图帮助读者理解LLMs的工作原理、局限性和定制方法。…
1.5 利用大数据集(Utilizing large datasets) 1.6 仔细观察GPT架构(A closer look at the GPT architecture) 1.7 构建大语言模型(Building a large language model) 1.8总结(Summary) 附录B (Appendix B. References and Further Reading) 1 理解大型语言模型(Understanding Large Language Models) 本章涵盖 对大型语...
Build a Large Language Model (From Scratch) 下载积分:7000 内容提示: M A N N I N GSebastian RaschkaFROMSCRATCHBUILD A 文档格式:PDF | 页数:370 | 浏览次数:602 | 上传日期:2024-09-11 22:00:41 | 文档星级: M A N N I N GSebastian RaschkaFROMSCRATCHBUILD A ...
内容简介· ··· Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build a Large Language Model (from Scratch), you’ll discover how LLMs work from the inside out. In this insightful book, bestselling author Sebastian Raschka...
著名机器学习和AI研究员、畅销书《Python 机器学习》的作者Sebastian Raschka近日发布了新书《Build a Large Language Model (From Scratch)》,为广大读者揭示了从零开始构建大型语言模型的全过程。这本书不仅包含了如何创建、训练和调整LLM的详细步骤,还开源了对应的代码库,提供了实践操作的宝贵资源。
书的地址:welcome · Build a Large Language Model (From Scratch) 这次想和大家说的其实是这本书开源的配套代码,类似的关于机器学习的书我以前也写过,以我的经验来看,这种书的精华都在配套的代码里面,尤其是开源的notebook: GitHub:GitHub - rasbt/LLMs-from-scratch: Implementing a ChatGPT-like LLM from ...
and examples. You’ll go from the initial design and creation to pretraining on a general corpus, all the way to finetuning for specific tasks. Build a Large Language Model (from Scratch) teaches you how to: Plan and code all the parts of an LLM Prepare a dataset suitable for LLM trai...
Popularity of AI Models: Advanced AI models, particularly large language models (LLMs), have gained widespread popularity across various industries, sparking excitement in the media and the business sector. Transformative Impact of AI: The chapter highlights the potential for a wide-ranging ...
The orchestrator language model decomposes your query, or main task, into the set of subtasks that are required to answer your query. Converting the main task into a series of simpler subtasks allows the language model to address each task more accurately, which results in better answers with...
原文链接:What does it take to build and train a large language model? An introduction (algolia.com) 想象一下,作为计算机科学课的期末考试,你必须创建一个真实世界的大型语言模型(LLM)。 你会从哪里开始呢?又没有相应的应用程序。你将如何创建和训练一个 LLM,使其成为你(假设的)团队的可靠队友?一个精通...