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Transformer Last Mileofficial website
Dong Dong Can, a senior expert in the field of AI algorithm, is committed to helping his buddies get started with AI technology quickly. As the main manager of the public number "Dong Dong Can is a city lion", he is deeply committed to the research and practice of AI algorithms, sharing the latest technical developments and practical experience.
Transformer Last Milepresent (sb for a job etc)
Author's Profile
Dong Dong Can, a senior expert in the field of AI algorithm, is committed to helping his buddies get started with AI technology quickly. As the main manager of the public number "Dong Dong Can is a city lion", he is deeply committed to the research and practice of AI algorithms, sharing the latest technical developments and practical experience.
专栏背景
在人工智能的快速发展中，基于Transformer的大模型已成为AI领域的顶流技术。这一架构不仅能处理文本，还能处理语音和图像，应用广泛且成效显著。无论是国内的讯飞星火、百度文心一言，还是国外的GPT-4、LLaMa系列，都是基于Transformer架构的成果。可以说，Transformer架构是当前大模型的核心。
Column content
《Transformer 最后一公里》专栏旨在从零讲解Transformer系统的背景与算法技术，帮助你全面理解这一架构的技术点，并揭示其为何能成为大模型的核心。内容涵盖：
- 背景介绍：详述Transformer架构的起源与发展。
- 算法解析：逐步拆解Transformer的技术细节和实现原理。
- 实战示例：结合现有大模型，提供大量使用示例和代码演示。
此外，专栏还将带你体验各种大模型应用，包括网页版使用、Python代码调用接口等，让你在学习过程中亲身感受大模型的魅力。
更新计划
- 立项与撰写：专栏于2024年05月06日立项，预计2024年05月07日开始推送文章。
- 更新频率：每周更新4篇文章，计划持续3~6个月。
- 代码托管：所有涉及的代码将公开，暂定放在Gitee上托管。
内测信息
专栏目前处于内测阶段，定价59.9元（可先占名额），内测结束后定价129元。内测阶段购买者可免费终身阅读。内测期间暂不拉群，有问题可直接与作者沟通交流。
相关资源
订阅专栏后，可先学习董董灿之前的《AI视觉入门专栏》，共100+篇文章，详解AI视觉常见算法和深度学习基础知识，为学习Transformer专栏打下坚实基础。
concluding remarks
Transformer架构作为大模型的核心技术，其重要性不言而喻。通过《Transformer 最后一公里》专栏，你将彻底掌握这一架构的技术细节与应用方法，为你的AI技术之路增添新的动力。立即订阅，开启你的Transformer学习之旅！
备注： 内测期间请勿催更，感谢理解与支持。
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