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Introduction to Large Language Models - 日本語版

Google Cloud Training

このコースは、大規模言語モデル(LLM)とは何か、どのようなユースケースで活用できるのか、プロンプト調整で LLM のパフォーマンスを高めるにはどうすればよいかについて学習する、入門レベルのマイクロ ラーニング コースです。ジェネレーティブ AI アプリを自分で作成するのに役立つ Google ツールについても紹介します。

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What's inside

Syllabus

大規模言語モデルの概要
このモジュールでは、大規模言語モデル(LLM)とは何か、どのようなユースケースで活用できるのか、プロンプト調整で LLM のパフォーマンスを高めるにはどうすればよいかについて学習します。ジェネレーティブ AI アプリを自分で作成するのに役立つ Google ツールについても紹介します。

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
対象者は、大規模言語モデル(LLM)とそのユースケースについての基本的な理解を深めたい方です。
ジェネレーティブ AI アプリを作成するのに役立つ Google ツールも紹介するため、実践的なスキルを身に付けることができます。
入門レベルのマイクロラーニングコースであるため、LLM の基本を短時間で効率的に学ぶことができます。

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Activities

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Career center

Learners who complete Introduction to Large Language Models - 日本語版 will develop knowledge and skills that may be useful to these careers:
Natural Language Processing Engineer
A Natural Language Processing Engineer is responsible for designing, developing, and maintaining natural language processing systems. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which are a critical component of many NLP systems. Additionally, the knowledge gained from this course may be helpful in understanding how to prompt and interact with LLMs to achieve desired outcomes.
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, developing, and maintaining machine learning models. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which are a critical component of many machine learning models. Additionally, the knowledge gained from this course may be helpful in understanding how to prompt and interact with LLMs to achieve desired outcomes.
Copywriter
A Copywriter is responsible for writing persuasive and engaging copy for marketing and advertising campaigns. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to generate copy, optimize for conversions, and create impactful messaging.
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting data. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which are becoming increasingly important in the field of data science. LLMs can be used to automate tasks such as data cleaning and feature engineering, which can free up data scientists to focus on more strategic tasks.
Content Writer
A Content Writer is responsible for creating written content for websites, blogs, and other marketing materials. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to generate content, optimize for SEO, and create engaging copy.
Technical Writer
A Technical Writer is responsible for creating technical documentation, such as user manuals and white papers. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to generate documentation, optimize for clarity, and create effective communication materials.
Software Developer
A Software Developer is responsible for designing, developing, and maintaining software applications. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which are becoming increasingly important in the field of software development. LLMs can be used to automate tasks such as code generation and debugging, which can free up software developers to focus on more strategic tasks.
Academic Researcher
An Academic Researcher is responsible for conducting research and publishing findings in academic journals. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to generate research ideas, optimize for impact, and create groundbreaking discoveries.
UX Writer
A UX Writer is responsible for writing clear and concise text for user interfaces and other user-facing content. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to generate UX copy, optimize for usability, and create delightful user experiences.
AI Engineer
An AI Engineer is responsible for designing, developing, and maintaining artificial intelligence systems. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which are a critical component of many AI systems. Additionally, the knowledge gained from this course may be helpful in understanding how to prompt and interact with LLMs to achieve desired outcomes.
Grant Writer
A Grant Writer is responsible for writing grant proposals to secure funding for non-profit organizations and other entities. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to generate grant proposals, optimize for impact, and create compelling narratives.
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to generate marketing content, target audiences, and measure campaign performance.
Journalist
A Journalist is responsible for gathering, analyzing, and reporting on news and current events. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to generate news articles, optimize for engagement, and create informative and compelling content.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to generate business insights, optimize for efficiency, and create innovative solutions.
Product Manager
A Product Manager is responsible for managing the development and launch of new products. This course may be useful in helping to build a foundation in the fundamentals of LLMs, which can be used to gather customer feedback, generate product ideas, and create marketing content.

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 - 日本語版.
自然言語処理の包括的な教科書です。LLM の開発と応用に関連するトピックを幅広くカバーしています。
チューリングの画期的な論文「コンピューティング・マシナリーと知能」を注釈付きで解説しています。LLM の基礎となった概念を理解するのに役立ちます。
ディープラーニングの基礎から実践までを網羅した教科書。大規模言語モデルの開発やトレーニングに興味がある受講者にとって役立ちます。
ディープラーニングの包括的な教科書です。LLM の基礎となる概念と手法について理解を深めることができます。
機械学習の基礎を体系的に解説した教科書。大規模言語モデルの開発やトレーニングを理解するための前提知識として役立ちます。
人工知能の包括的な教科書。大規模言語モデルの開発や応用を理解するための前提知識として役立ちます。

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