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Introduction to Large Language Models - 繁體中文

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這堂入門微學習課程說明大型語言模型 (LLM) 的定義與用途，以及如何調整提示來提高 LLM 成效。這堂課程也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。

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適合作為初學者了解大型語言模型的入門課程。

進階學習者可能需要進一步的資源來深入探討大型語言模型。

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Reviews summary

大型語言模型入門與提示工程基礎

根據學員們的意見，這門「大型語言模型入門 - 繁體中文」課程為初學者提供了極為清晰且簡潔的LLM概覽。學生們特別讚揚其淺顯易懂的內容，尤其在提示工程方面提供了實用的基礎概念，有助於理解如何與AI互動。課程中Google工具的介紹也廣受好評，被視為進入生成式AI領域的良好起點。然而，部分學員指出，對於已有AI基礎的學習者，課程內容可能略顯入門，並且缺乏足夠的實際程式碼練習與專案，這可能讓期望深入開發的學生感到深度不足。

簡要介紹Google工具，有助於應用開發。

"Google工具的介紹也很實用，對於想進入生成式AI領域的人非常有幫助。"

"這堂課程也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。"

"如果只是想了解概念，這課OK，特別是對於Google工具的應用有初步認識。"

課程著重於提示工程，提供可應用的技巧。

"特別是提示工程的技巧，非常實用。講師的說明很清楚，讓我可以很快上手。"

"它讓我快速掌握了LLM的核心概念，尤其喜歡課程中關於如何優化提示的實用建議。"

"它強調了提示工程的重要性，並且提供了實用的技巧。"

本課程對LLM初學者友善，提供清晰的基礎知識。

"這門課提供了LLM一個非常清晰的入門，對提示工程有很好的基礎概念，讓我了解如何與AI互動。"

"對於初學者來說，這門課程非常適合，內容淺顯易懂，是了解LLM的良好起點。"

"我對大型語言模型完全沒有概念，但這門課讓我對LLM有了全面的了解，特別是提示工程的技巧，非常實用。"

課程側重概念講解，實務操作機會有限。

"我期待更多實際的程式碼練習和專案，但課程主要還是概念介紹，沒有太多動手做的機會。"

"對於想直接動手開發生成式AI應用的人幫助有限。感覺更像是推廣Google產品。"

"本課程在概念上給了我很多知識，但實作上卻很難找到足夠的練習機會來加深理解。"

對於進階學習者來說，課程內容稍顯基礎。

"課程內容廣度足夠，涵蓋了LLM的基本定義和用途，但深度稍嫌不足。"

"對於已經有一定AI基礎的學習者來說，可能會覺得太過於入門，缺乏挑戰性。"

"我期待更多實際的程式碼練習和專案，但課程主要還是概念介紹，沒有太多動手做的機會。"

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 - 繁體中文 with these activities:

組織並回顧課程材料

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整理和複習課程材料，加強理解並準備後續的學習。

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Career center

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

Large Language Model Developer

Large Language Model Developers are responsible for designing, building, and deploying large language models (LLMs). As a Large Language Model Developer, you will use your knowledge of natural language processing and machine learning to create AI systems that can understand and generate human language. This course will help you build a foundation in the fundamentals of LLMs and provide you with the skills necessary to develop and deploy your own LLM applications.

See salaries and explore the career path for Large Language Model Developer

Natural Language Processing Engineer

Natural Language Processing Engineers design and develop systems that enable computers to understand and process human language. This course will help you build a foundation in the fundamentals of natural language processing and provide you with the skills necessary to develop and deploy your own NLP applications.

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Machine Learning Engineer

Machine Learning Engineers design and develop systems that can learn from data and make predictions. This course will help you build a foundation in the fundamentals of machine learning and provide you with the skills necessary to develop and deploy your own machine learning applications.

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Data Scientist

Data Scientists use data to solve business problems. This course will help you build a foundation in the fundamentals of data science and provide you with the skills necessary to collect, clean, and analyze data to make informed decisions.

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Artificial Intelligence Engineer

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Software Engineer

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Computer Scientist

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Information Technology Specialist

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Web Developer

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Database Administrator

Database Administrators design, develop, and maintain databases. This course will help you build a foundation in the fundamentals of database administration and provide you with the skills necessary to design, develop, and maintain your own databases.

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Security Analyst

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System Administrator

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Technical Writer

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Teacher

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Reading list

We've selected five 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 - 繁體中文.