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Harnessing LLMs & Text-Embeddings API with Google Vertex AI
Harnessing LLMs & Text-Embeddings API with Google Vertex AI

Harnessing LLMs & Text-Embeddings API with Google Vertex AI: Master Google Vertex AI's Text-Embeddings API for Advanced AI Solutions

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Profile Icon Paulo Dichone
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S$121.99
Video Sep 2024 1hr 51mins 1st Edition
Video
S$121.99
Subscription
Free Trial
Arrow left icon
Profile Icon Paulo Dichone
Arrow right icon
S$121.99
Video Sep 2024 1hr 51mins 1st Edition
Video
S$121.99
Subscription
Free Trial
Video
S$121.99
Subscription
Free Trial

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Key benefits

  • Explore the full potential of Google Vertex AI’s Text-Embeddings API
  • Learn to set up and optimize your Google Cloud Platform environment
  • Gain hands-on experience with embeddings and text generation models

Description

This course takes you on an in-depth journey through the capabilities of Google Vertex AI's Text-Embeddings API. Beginning with an overview of the prerequisites and course structure, you’ll establish a solid foundation by setting up your development environment and configuring your Google Cloud Platform. This preparation is crucial as you delve into the intricacies of Vertex AI and begin generating sentence embeddings. As the course progresses, you'll explore the core functionalities of Vertex AI and the fundamentals of embeddings, including their applications in Generative AI and LLMs. With a focus on real-world scenarios, you’ll engage in hands-on exercises to visualize embeddings, conduct similarity searches, and comprehend the use of text and multimodal embeddings. Each module builds on the last, deepening your understanding and preparing you to tackle more complex tasks. By the end of the course, you’ll be proficient in using the Text-Embeddings API for various applications, including text generation and information extraction. You’ll learn to build and scale solutions like a Retrieval-Augmented Generation (RAG) system and visualize data in meaningful ways. This comprehensive approach ensures that you understand their practical value, making you well-equipped to leverage Vertex AI in your projects.

Who is this book for?

This course is designed for data scientists, AI practitioners, and developers with a basic understanding of Python and machine learning concepts. Familiarity with cloud services and API usage will be beneficial.

What you will learn

  • Configure your environment for efficient Vertex AI usage
  • Generate embeddings and visualize their relationships effectively
  • Apply text generation for classification and summarization tasks
  • Implement cosine similarity and search techniques with embeddings
  • Build real-world AI solutions using Vertex AI capabilities
  • Develop a RAG system and analyze StackOverflow data insights

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 27, 2024
Length: 1hr 51mins
Edition : 1st
Language : English
ISBN-13 : 9781836644859
Category :
Languages :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Sep 27, 2024
Length: 1hr 51mins
Edition : 1st
Language : English
ISBN-13 : 9781836644859
Category :
Languages :

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Frequently bought together


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Harnessing LLMs & Text-Embeddings API with Google Vertex AI
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Table of Contents

6 Chapters
Introduction Chevron down icon Chevron up icon
Development Environment Setup & Google Cloud Platform Setup Chevron down icon Chevron up icon
Vertex AI Text Embedding API and Embeddings Crash Course - Deep Dive Chevron down icon Chevron up icon
Text Generation with Vertex AI Text Embedding API Chevron down icon Chevron up icon
Hands-on: Application and Real-world Use Cases of Embeddings Chevron down icon Chevron up icon
Next Steps Chevron down icon Chevron up icon
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