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Introduction to Large Language Models - 简体中文

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这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能。该课程还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。

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Syllabus

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深入了解 Gen AI，可帮助学生提升在不断发展的领域中的竞争力。

利用 Google 工具，学生可以开发自己的生成式人工智能应用，这为他们提供了宝贵的实践经验。

通过提示调整来提升 LLM 性能，可以让学生掌握一项关键技能，从而优化其 Gen AI 应用。

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Reviews summary

大型语言模型入门指南

根据学员反馈，这是一门出色的入门课程，提供了大型语言模型 (LLM) 的基础知识。课程简洁明了，特别适合希望了解 LLM 是什么以及如何应用的新手。它涵盖了LLM 的应用场景和提示调整技巧，能有效提升模型性能。此外，课程还介绍了谷歌的 Gen AI 工具，为学员开发人工智能应用提供了实用的起点。对于寻求快速掌握 LLM 核心概念的专业人士和爱好者来说，这是一门价值很高的微学习体验。

课程内容简洁，适合快速学习，但深度有限。

"这是一门很棒的‘微学习’课程，能在短时间内掌握核心。"

"课程非常适合完全的初学者，但有经验的学习者可能会觉得内容不够深入。"

"希望未来能有更高级的课程来进一步探讨这些主题。"

介绍了Google工具，有助于开发生成式AI应用。

"作为Google Cloud的用户，这些工具的介绍对我很有帮助。"

"课程引导我了解了谷歌生态系统中构建Gen AI的资源。"

"我发现课程中提到的Google工具是开发我自己的AI应用的良好起点。"

强调实际应用场景并教授提升LLM性能的提示调整技巧。

"学习如何进行提示调整真的很有用，可以直接应用于我的工作。"

"课程不仅讲理论，还告诉我LLM在现实中如何使用。"

"我学会了利用提示词优化LLM输出，这非常实用。"

课程对大型语言模型的核心概念进行了清晰易懂的阐释。

"这门课让我对LLM有了全面的初步认识，非常适合初学者。"

"我对大型语言模型是什么以及它们能做什么有了清晰的概念。"

"课程内容条理清晰，帮助我构建了LLM知识体系的基础。"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Large Language Models - 简体中文 with these activities:

复习大型语言模型的基本知识

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复习大型语言模型的基础知识将帮助你对本课程的主题建立坚实的基础。

Browse courses on LLM

Show steps

阅读课程简介和目标。
复习与自然语言处理相关的前提知识。
了解大型语言模型的优点和局限性。

复习自然语言处理的基础知识

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复习自然语言处理的基础知识可以帮助你为学习 LLM 打下坚实的基础。

Browse courses on NLP

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复习自然语言处理的教科书或在线课程
完成自然语言处理练习题

整理课程材料

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整理课程材料可以帮助你更有效地学习和复习。

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收集课程讲义、作业和其他材料
整理材料并创建学习指南

Five other activities

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使用 Google 提供的 Colab 教程探索大型语言模型

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这些教程提供动手实践，让你可以探索大型语言模型的功能。

Browse courses on Google Colab

Show steps

注册 Google Colab 帐户。
选择一个 Colab 教程并按照说明操作。
运行代码并观察输出。

使用 Google Cloud 的提示调整教程

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通过本教程，你可以学习如何使用 Google Cloud 的提示调整技术来提升 LLM 的性能。

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注册 Google Cloud Trial 帐户。
遵循教程中的分步说明。
在给定的数据集上实验不同的提示调整技术。

完成 LLM 提示调整练习

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LLM 提示调整练习可以帮助你提高使用 LLM 的效率。

Browse courses on LLM

Show steps

查找 LLM 提示调整练习
完成练习并检查你的答案

撰写有关 LLM 的博客文章

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撰写有关 LLM 的博客文章可以帮助你巩固对 LLM 的理解并提高你的写作技能。

Browse courses on LLM

Show steps

选择一个 LLM 相关的主题
研究主题并收集信息
撰写博客文章并进行编辑

构建一个使用 LLM 的应用程序

Show steps

构建一个使用 LLM 的应用程序可以帮助你将你的 LLM 知识付诸实践并创建一个有价值的工具。

Show steps

确定一个应用程序创意
选择一个 LLM 并学习如何使用它
构建应用程序并使其投入使用

Career center

Learners who complete Introduction to Large Language Models - 简体中文 will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and optimizing machine learning systems. This course can help individuals interested in Machine Learning Engineering build a foundation in large language models, which are heavily leveraged in this field. The course also covers various tools and resources provided by Google that can help Machine Learning Engineers jumpstart their work on generative AI applications.

See salaries and explore the career path for Machine Learning Engineer

Natural Language Processing Engineer

Natural Language Processing Engineers are responsible for developing and maintaining software that can understand and generate human language. This course may help aspiring Natural Language Processing Engineers build a foundation in large language models, which are at the core of this field. The course provides practical tips on how to optimize large language models through prompt engineering, which can prove particularly valuable for Natural Language Processing Engineers.

See salaries and explore the career path for Natural Language Processing Engineer

Computational Linguist

Computational Linguists are responsible for studying the relationship between natural language and computation. This course can help aspiring Computational Linguists develop a strong foundation in large language models. The course also provides practical tips on how to use large language models for tasks such as text classification and generation, which can be beneficial for Computational Linguists.

See salaries and explore the career path for Computational Linguist

Artificial Intelligence Researcher

Artificial Intelligence Researchers are responsible for developing new and innovative artificial intelligence algorithms and applications. This course may be useful for entry-level Artificial Intelligence Researchers who are interested in exploring large language models. The course provides an overview of the fundamental concepts and applications of large language models, which can be helpful for researchers in this field.

See salaries and explore the career path for Artificial Intelligence Researcher

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. This course may be useful for Software Engineers who are interested in building generative AI applications. The course provides an overview of the latest advancements in large language models and shares best practices for prompt engineering, which can help Software Engineers write efficient and effective prompts.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers are responsible for defining and managing the development of software products. This course may be useful for Product Managers who are interested in incorporating large language models into their products. The course provides practical tips on how to identify use cases for large language models and how to design products that leverage these technologies effectively.

See salaries and explore the career path for Product Manager

Quantitative Analyst

Quantitative Analysts are responsible for developing and implementing quantitative models to analyze financial data. This course may be useful for Quantitative Analysts who are interested in using large language models to improve their models. The course provides practical tips on how to use large language models for tasks such as time series forecasting and risk analysis, which can be beneficial for Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Content Creator

Content Creators are responsible for creating and publishing content for various platforms and audiences. This course may be useful for Content Creators who are interested in using large language models to create high-quality and engaging content. The course also covers Google tools that can help automate parts of the content creation process using large language models, which can improve efficiency.

See salaries and explore the career path for Content Creator

Marketing Manager

Marketing Managers are responsible for planning and executing marketing campaigns. This course may be useful for Marketing Managers who are interested in using large language models to improve the effectiveness of their campaigns. The course provides practical tips on how to use large language models for tasks such as content creation and marketing analytics, which can help Marketing Managers achieve better results.

See salaries and explore the career path for Marketing Manager

Business Analyst

Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. This course can help aspiring Business Analysts build a foundation in large language models, which can be useful for tasks such as market research and competitive analysis. The course also shares case studies of real-world applications of large language models in a business context.

See salaries and explore the career path for Business Analyst

Data Scientist

Data Scientists are responsible for collecting, cleaning, and safeguarding data according to industry standards. This course can help aspiring Data Scientists build a foundation in large language models, which may allow them to explore and analyze complex datasets more efficiently. The course also covers applications of large language models that could prove useful in this role.

See salaries and explore the career path for Data Scientist

Consultant

Consultants are responsible for providing advice and guidance to businesses and organizations. This course may be useful for Consultants who are interested in advising their clients on how to use large language models. The course provides practical tips on how to identify use cases for large language models and how to develop a strategy for implementing these technologies.

See salaries and explore the career path for Consultant

UX Designer

UX Designers are responsible for designing and evaluating user experiences for software products. This course may be useful for UX Designers who are interested in using large language models to improve the user experience of their products. The course provides practical tips on how to use large language models for tasks such as user research and prototyping, which can improve the quality of user experience.

See salaries and explore the career path for UX Designer

Data Analyst

Data Analysts are responsible for analyzing business and industry-related data. They help organizations make informed decisions. This course may help entry-level Data Analysts understand how large language models are created and applied to different use cases, which could allow them to perform exploratory data analysis more efficiently. The course also covers prompt engineering techniques which Data Analysts may find useful in building efficient queries.

See salaries and explore the career path for Data Analyst

Entrepreneur

Entrepreneurs are responsible for starting and running their own businesses. This course may be useful for Entrepreneurs who are interested in using large language models in their business. The course provides practical tips on how to identify use cases for large language models and how to develop a strategy for implementing these technologies.

See salaries and explore the career path for Entrepreneur

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Large Language Models - 简体中文.