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Introduction to Large Language Models - Português Brasileiro

Google Cloud Training

Este é um curso de microlearning de nível introdutório que explica o que são modelos de linguagem grande (LLM), os casos de uso em que podem ser aplicados e como é possível fazer o ajuste de prompts para aprimorar o desempenho dos LLMs. Ele também aborda as ferramentas do Google que ajudam no desenvolvimento dos apps de IA generativa.

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What's inside

Syllabus

Introdução a modelos de linguagem grandes
Este módulo explica o que são modelos de linguagem grande (LLM), os casos de uso em que podem ser aplicados e como é possível fazer o ajuste de prompts para aprimorar o desempenho dos LLMs. Ele também aborda as ferramentas do Google que ajudam no desenvolvimento dos apps de IA generativa.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Desenvolva a base essencial para iniciantes em Modelos de Linguagem Grandes
Destinado ao público iniciante, oferecendo uma introdução acessível a conceitos complexos
Ensina técnicas de ajuste de prompt para aprimorar o desempenho de LLMs
Oferece insights sobre ferramentas do Google para desenvolvimento de IA generativa
Abrangência do tema Modelos de Linguagem Grandes

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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 - Português Brasileiro with these activities:
Organize uma coleção de recursos de LLMs
Crie uma referência valiosa para si e para outros alunos.
Show steps
  • Pesquise e集mer recursos sobre LLMs
  • Organize os recursos em categorias
  • Crie um documento ou apresentação compartilhável
Participe do TensorFlow Tutorial
Siga este tutorial para aprimorar seu domínio no TensorFlow.
Show steps
  • Acesse o tutorial do TensorFlow
  • Siga as instruções
  • Pratique os exercícios
Participe de grupos de estudo sobre LLMs
Troque ideias e aprenda com colegas.
Show steps
  • Identifique ou crie um grupo de estudo
  • Defina a programação das reuniões
  • Prepare-se para as reuniões
  • Participe das discussões em grupo
Three other activities
Expand to see all activities and additional details
Show all six activities
Resolva exercícios práticos do Kaggle sobre LLMs
Fortaleça sua compreensão dos LLMs por meio de exercícios práticos.
Browse courses on LLMs
Show steps
  • Acesse o Kaggle
  • Localize os exercícios de LLM
  • Resolva os exercícios
Tutorial sobre ajuste de prompts para LLMs
Desenvolva habilidades valiosas para aprimorar a saída dos LLMs.
Show steps
  • Acesse o tutorial sobre ajuste de prompts
  • Siga as instruções
  • Pratique com prompts diferentes
Crie um protótipo de aplicativo de IA generativa
Crie um protótipo prático para aplicar o aprendizado teórico.
Show steps
  • Escolha um caso de uso para seu aplicativo
  • Projete a interface do aplicativo
  • Implemente os recursos de IA generativa
  • Teste e refine seu protótipo

Career center

Learners who complete Introduction to Large Language Models - Português Brasileiro will develop knowledge and skills that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineers use their understanding of language and knowledge of programming to develop systems that process and generate human language. This can include working on projects like spam filters, machine translation, and chatbots. Given your understanding of what a Large Language Model is, you could use your knowledge to develop business cases for their use, test various use cases, and aid in building and deploying them.
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to uncover insights and trends. They use their findings to help businesses make better decisions. This course can help you build a foundation in the use of Large Language Models, which can be used to analyze large amounts of text data. This could make you a more competitive candidate for Data Scientist roles that involve working with text data.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. They work on a variety of projects, such as image recognition, natural language processing, and fraud detection. This course would complement your knowledge of machine learning. It can help you understand how to use Large Language Models to improve the performance of your machine learning models.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work on a variety of projects, such as websites, mobile apps, and enterprise software. This course can be useful if you are interested in developing applications that use Large Language Models. It can help you understand the capabilities and limitations of LLMs, and how to use them effectively.
Consultant
Consultants help organizations solve problems and improve their performance. They work on a variety of projects, such as strategy development, process improvement, and risk management. This course may be useful if you are interested in using Large Language Models to help organizations improve their performance. It can help you understand the potential applications of LLMs, and how to evaluate their performance.
Business Analyst
Business Analysts help organizations improve their business processes. They work with stakeholders to identify problems and develop solutions. This course may be useful if you are interested in using Large Language Models to improve business processes. It can help you understand the potential applications of LLMs, and how to evaluate their performance.
Product Manager
Product Managers are responsible for defining, developing, and launching new products. They work with a variety of stakeholders, including engineers, designers, and marketers. This course may be useful if you are interested in developing products that use Large Language Models. It can help you understand the potential applications of LLMs, and how to evaluate their performance.
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. They work with a variety of stakeholders, including sales, product development, and customer service. This course may be useful if you are interested in using Large Language Models to improve the effectiveness of your marketing campaigns. It can help you understand the potential applications of LLMs, and how to evaluate their performance.
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. They work with engineers and other technical experts to ensure that documentation is accurate and easy to understand. This course may be useful if you are interested in using Large Language Models to improve the quality of your technical documentation. It can help you understand the capabilities and limitations of LLMs, and how to use them effectively.
Editor
Editors review and edit written content for accuracy, clarity, and style. They work on a variety of projects, such as books, articles, and marketing materials. This course may be useful if you are interested in using Large Language Models to improve the quality of your editing. It can help you understand the capabilities and limitations of LLMs, and how to use them effectively.
User Experience Designer
User Experience Designers create products that are easy to use and enjoyable. They work with engineers, designers, and other stakeholders to ensure that products meet the needs of users. This course may be useful if you are interested in using Large Language Models to improve the user experience of your products. It can help you understand the potential applications of LLMs, and how to evaluate their performance.
Writer
Writers create content for a variety of purposes, such as marketing, journalism, and entertainment. They work on a variety of projects, such as books, articles, and scripts. This course may be useful if you are interested in using Large Language Models to improve the quality of your writing. It can help you understand the capabilities and limitations of LLMs, and how to use them effectively.
Information Architect
Information Architects design and organize websites, intranets, and other information systems. They work with stakeholders to ensure that information is easy to find and use. This course may be useful if you are interested in using Large Language Models to improve the information architecture of your websites or other information systems. It can help you understand the potential applications of LLMs, and how to evaluate their performance.
Content Strategist
Content Strategists develop and manage content for websites, social media, and other marketing channels. They work with stakeholders to ensure that content is relevant, engaging, and achieves business goals. This course may be useful if you are interested in using Large Language Models to improve the quality of your content. It can help you understand the capabilities and limitations of LLMs, and how to use them effectively.
Sales Manager
Sales Managers lead and motivate sales teams to achieve their goals. They work with a variety of stakeholders, including customers, partners, and other sales professionals. This course may be useful if you are interested in using Large Language Models to improve the effectiveness of your sales team. It can help you understand the potential applications of LLMs, and how to evaluate their performance.

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 - Português Brasileiro.
Este livro abrangente cobre os fundamentos do processamento de linguagem natural com aprendizado profundo, fornecendo uma base sólida para entender os modelos de linguagem grandes.
Este livro fornece uma visão geral dos modelos de linguagem, incluindo sua história, arquitetura e aplicações, complementando o curso com uma perspectiva mais ampla.
Este livro prático aborda a implementação e uso de modelos de linguagem grandes, fornecendo orientação sobre engenharia de prompts e avaliação de resultados.
Este livro aborda os desafios e oportunidades do século 21, fornecendo um contexto mais amplo para o desenvolvimento e uso de modelos de linguagem grandes.

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