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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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OpenCourser.com/course/hhowsd/introduction
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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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Reviews summary
Introdução prática a llms e ferramentas google
De acordo com os alunos, este curso é uma excelente introdução aos Modelos de Linguagem Grande (LLMs), oferecendo uma visão clara dos conceitos fundamentais e seus casos de uso práticos. Muitos destacam a eficácia das explicações sobre ajuste de prompts e a relevância das ferramentas do Google para IA generativa. O formato de microlearning é valorizado por sua concisão, embora alguns possam desejar uma cobertura mais aprofundada, tornando-o ideal para iniciantes que buscam uma base sólida em português.
Introduz as ferramentas do Google para desenvolvimento de IA generativa.
"É ótimo que o curso apresente as ferramentas do Google Cloud para IA generativa."
"Achei muito bom ter uma visão das opções que o Google oferece para trabalhar com LLMs."
"Fiquei animado para explorar mais as ferramentas da Google após o curso."
Foca em casos de uso e na essencial técnica de ajuste de prompts.
"Gostei muito de ver os exemplos de aplicação dos LLMs no mundo real."
"A seção sobre ajuste de prompts foi super útil e diretamente aplicável."
"O curso realmente mostra como usar LLMs para resolver problemas práticos."
Oferece uma base sólida e acessível para quem está começando em LLMs.
"O curso me deu uma compreensão fundamental do que são LLMs de forma muito clara."
"Achei as explicações bem didáticas, mesmo sem ter muito conhecimento prévio sobre IA."
"Excelente ponto de partida para desmistificar os modelos de linguagem grande."
Ideal para quem busca uma visão rápida e objetiva dos temas.
"Por ser microlearning, o curso é direto ao ponto, ótimo para agendas apertadas."
"É um curso bem rápido, o que é bom para uma introdução, mas não se aprofunda muito."
"Concluí rapidamente, mas senti que poderia ter mais detalhes em algumas partes."
Perfeito para iniciantes, mas pode ser superficial para avançados.
"Como o nome diz, é uma introdução sólida, mas não espere mergulhar em detalhes técnicos profundos."
"Excelente para quem está começando, mas quem já tem alguma base pode achar básico demais."
"O curso cumpre o que promete como introdução, sem se aprofundar em tópicos complexos."
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Organize uma coleção de recursos de LLMs
Show steps
Crie uma referência valiosa para si e para outros alunos.
Show steps
Show steps
Show steps
- Pesquise e集mer recursos sobre LLMs
- Organize os recursos em categorias
- Crie um documento ou apresentação compartilhável
Participe do TensorFlow Tutorial
Show steps
Siga este tutorial para aprimorar seu domínio no TensorFlow.
Show steps
Show steps
Show steps
- Acesse o tutorial do TensorFlow
- Siga as instruções
- Pratique os exercícios
Participe de grupos de estudo sobre LLMs
Show steps
Troque ideias e aprenda com colegas.
Show steps
Show steps
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
Show steps
Fortaleça sua compreensão dos LLMs por meio de exercícios práticos.
Browse courses on
LLMs
Show steps
Show steps
Show steps
- Acesse o Kaggle
- Localize os exercícios de LLM
- Resolva os exercícios
Tutorial sobre ajuste de prompts para LLMs
Show steps
Desenvolva habilidades valiosas para aprimorar a saída dos LLMs.
Show steps
Show steps
Show steps
- Acesse o tutorial sobre ajuste de prompts
- Siga as instruções
- Pratique com prompts diferentes
Crie um protótipo de aplicativo de IA generativa
Show steps
Crie um protótipo prático para aplicar o aprendizado teórico.
Show steps
Show steps
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 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 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 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 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.
Product Manager
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.
Business Analyst
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.
Consultant
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.
Technical Writer
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.
User Experience Designer
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.
Information Architect
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 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.
Editor
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.
Writer
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.
Marketing Manager
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.
Sales Manager
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.
For more career information including salaries, visit:
OpenCourser.com/course/hhowsd/introduction
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 clássico oferece uma introdução à estatística e aprendizado de máquina, fornecendo os fundamentos matemáticos subjacentes aos 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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hhowsd/introduction
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