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Vector Search and Embeddings - Português Brasileiro

Google Cloud Training

Este curso apresenta o Vertex AI Vector Search e descreve como ele pode ser usado para criar um aplicativo de pesquisa com APIs de modelo de linguagem grande (LLM) para embeddings. O curso é composto de aulas teóricas sobre pesquisa vetorial e embeddings de texto, demonstrações práticas de como criar essas pesquisas na Vertex AI e um laboratório.

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What's inside

Syllabus

Pesquisa vetorial e embeddings
Este curso apresenta o Vertex AI Vector Search e descreve como ele pode ser usado para criar um aplicativo de pesquisa com APIs de modelo de linguagem grande (LLM) para embeddings. O curso é composto de aulas teóricas sobre pesquisa vetorial e embeddings de texto, demonstrações práticas de como criar essas pesquisas na Vertex AI e um laboratório.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Desenvolve pesquisa vetorial e embeddings, que são habilidades essenciais para desenvolvedores de ML
Ensina pesquisa vetorial e embeddings de texto, que são fundamentais para criar aplicativos de pesquisa modernos
Oferece laboratório prático, permitindo que os alunos apliquem os conceitos aprendidos
Requer conhecimento prévio em pesquisa vetorial e embeddings de texto
Pode não ser adequado para iniciantes na área

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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 Vector Search and Embeddings - Português Brasileiro with these activities:
Revise Vector Search and Text Embeddings
This activity will help you prepare by reviewing the foundational knowledge required for this course.
Browse courses on Vector Search
Show steps
  • Review materials from previous courses on Vector Search and Text Embeddings
  • Refer to online resources such as tutorials and articles
Participate in a Study Group
This activity will help you learn from and collaborate with your peers.
Show steps
  • Find a study group or create your own
  • Meet regularly to discuss course material, ask questions, and work on projects together
Create a Vector Search Model with Vertex AI
This activity will reinforce your understanding of creating and deploying models in this course.
Browse courses on Vector Search
Show steps
  • Find a tutorial on creating a Vector Search model with Vertex AI
  • Follow the steps in the tutorial to create and deploy your model
Three other activities
Expand to see all activities and additional details
Show all six activities
Build a Vector Search Application
This activity will allow you to apply your skills by building a practical application.
Browse courses on Vector Search
Show steps
  • Define the requirements for your application
  • Design and implement the architecture of your application
  • Test and deploy your application
Tutor Other Students
This activity will help you reinforce your understanding of the course material by teaching it to others.
Show steps
  • Identify opportunities to tutor other students
  • Prepare materials and plan your tutoring sessions
  • Tutor students and provide guidance on course-related topics
Contribute to Open-Source Vector Search Projects
This activity will allow you to contribute to and learn from the open-source community.
Browse courses on Vector Search
Show steps
  • Identify open-source Vector Search projects
  • Find and fix bugs or propose new features to improve the projects
  • Submit your contributions and collaborate with other contributors

Career center

Learners who complete Vector Search and Embeddings - Português Brasileiro will develop knowledge and skills that may be useful to these careers:

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Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 5, 2024 - August 19, 2024
Language
pt-BR
Good to know
Desenvolve pesquisa vetorial e embeddings, que são habilidades essenciais para desenvolvedores de ML
Ensina pesquisa vetorial e embeddings de texto, que são fundamentais para criar aplicativos de pesquisa modernos
Oferece laboratório prático, permitindo que os alunos apliquem os conceitos aprendidos
Requer conhecimento prévio em pesquisa vetorial e embeddings de texto
Pode não ser adequado para iniciantes na área
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