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Google Cloud Training

En este curso, se presenta la búsqueda de vectores de Vertex AI y se describe cómo puede usarse para compilar una aplicación de búsqueda con APIs de modelo de lenguaje grande (LLM) para embeddings. Este curso se compone de lecciones conceptuales sobre la búsqueda de vectores y las embeddings de texto, demostraciones prácticas para compilar una búsqueda de vectores en Vertex AI y un lab práctico.

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Syllabus

Búsqueda de vectores y embeddings
En este curso, se presenta la búsqueda de vectores de Vertex AI y se describe cómo puede usarse para compilar una aplicación de búsqueda con APIs de modelo de lenguaje grande (LLM) para embeddings. Este curso se compone de lecciones conceptuales sobre la búsqueda de vectores y las embeddings de texto, demostraciones prácticas para compilar una búsqueda de vectores en Vertex AI y un lab práctico.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Puede ser particularmente útil para aquellos interesados en construir una aplicación de búsqueda con API de modelo de lenguaje grande (LLM)
Explica conceptos de búsqueda de vectores y representaciones de texto, lo que puede ser relevante para los profesionales que trabajan con procesamiento del lenguaje natural
Enseña a crear una búsqueda de vectores en Vertex AI, lo que puede ser beneficioso para los desarrolladores interesados en implementar esta tecnología en sus aplicaciones
Incluye demostraciones prácticas y un laboratorio práctico, lo que puede ayudar a los alumnos a aplicar los conceptos aprendidos
Es impartido por Google Cloud Training, lo que sugiere que el contenido puede ser actualizado y relevante para la industria

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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 - Español with these activities:
Revise the concepts of vector spaces and embeddings
Revising these concepts will strengthen your foundational understanding and make learning vector search easier.
Browse courses on Vector Spaces
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  • Review lecture notes or textbooks on vector spaces
  • Practice solving problems involving vector operations
  • Explore online resources and tutorials on embeddings
Compilar un portafolio de recursos de búsqueda de vectores
Compilar un portafolio de recursos relevantes ayudará a los estudiantes a acceder y revisar fácilmente información importante.
Browse courses on APIs
Show steps
  • Recopilar enlaces a artículos, tutoriales y documentación
  • Organizar y categorizar los recursos
Follow online tutorials on vector search best practices
Staying updated on best practices will ensure that you are using vector search effectively and efficiently.
Show steps
  • Identify reputable sources for online tutorials
  • Follow step-by-step instructions to implement best practices
  • Experiment with different techniques and compare results
Six other activities
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Seguir tutoriales sobre búsqueda de vectores con Vertex AI
Los tutoriales guiados proporcionarán una comprensión práctica de cómo implementar la búsqueda de vectores en Vertex AI.
Browse courses on Vertex AI
Show steps
  • Encontrar tutoriales en línea sobre búsqueda de vectores con Vertex AI
  • Seguir los pasos del tutorial para crear una aplicación de búsqueda de vectores
Explorar y utilizar herramientas de visualización de embeddings
El uso de herramientas de visualización permitirá a los estudiantes comprender y analizar los embeddings de texto de manera más efectiva.
Browse courses on TensorBoard
Show steps
  • Investigar diferentes herramientas de visualización de embeddings
  • Utilizar las herramientas para visualizar embeddings de texto
Complete practice exercises on vector search
Engaging in practice exercises will enhance your proficiency in applying vector search techniques.
Browse courses on Vector Search
Show steps
  • Solve coding challenges involving vector search algorithms
  • Utilize online platforms or textbooks to find practice problems
  • Create your own dataset and experiment with different vector search methods
Mentor junior developers or students in vector search
Mentoring others will reinforce your understanding of vector search and foster a sense of community.
Browse courses on Knowledge Sharing
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  • Identify opportunities to mentor others
  • Share your knowledge and expertise
  • Provide guidance and support to mentees
  • Evaluate and provide feedback on their progress
Build a simple vector search application
Developing a practical application will allow you to synthesize your knowledge and apply it to a real-world scenario.
Show steps
  • Define the scope and requirements of your application
  • Choose appropriate vector search algorithms and data structures
  • Implement the application using a programming language of your choice
  • Test and evaluate the performance of your application
Attend a workshop on advanced vector search techniques
Attending workshops will expose you to cutting-edge research and best practices in vector search, broadening your knowledge.
Browse courses on Machine Learning
Show steps
  • Research and identify relevant workshops
  • Register and attend the workshop
  • Actively participate in discussions and hands-on exercises
  • Network with experts and fellow attendees

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