Udemy - Master Vertex AI - Leveraging LLMs with Text-Embeddings API

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  • TypeTutorials
  • LanguageEnglish
  • Total size1.3 GB
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  • Last checkedSep. 20th '24
  • Date uploadedSep. 19th '24
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Master Vertex AI: Leveraging LLMs with Text-Embeddings API

https://DevCourseWeb.com

Published 8/2024
Duration: 1h51m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.31 GB
Genre: eLearning | Language: English

Master Google Cloud Vertex AI: Harness LLMs & Text-Embeddings API to Build Advanced AI Solutions & Drive Insights

What you'll learn
Master the Fundamentals of Google Cloud Vertex AI: Gain a comprehensive understanding of Vertex AI, including its architecture, key features
Leverage Large Language Models (LLMs) in Vertex AI: Learn how to utilize pre-trained LLMs for natural language processing tasks such as text generation
Optimize Text Embeddings for Specific Tasks: Discover how to create and optimize text embeddings using the Text-Embeddings API for tasks like document retrieval
Apply AI Techniques to Real-World Scenarios: Develop the skills to build advanced AI solutions, such as Retrieval-Augmented Generation (RAG) systems

Requirements
Basic Understanding of Machine Learning
Basic of Python

Files:

[ DevCourseWeb.com ] Udemy - Master Vertex AI - Leveraging LLMs with Text-Embeddings API
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - Introduction and About the Course Prerequisites.mp4 (12.9 MB)
    • 2 - Course Structure.mp4 (3.9 MB)
    2 - Download Source Code
    • 3 - Download Source code.html (0.2 KB)
    3 - Development Environment Setup Google Cloud Platform Setup
    • 4 - Development Environment Setup and API Costs Overview.mp4 (11.8 MB)
    • 5 - Google Cloud Setup.mp4 (54.6 MB)
    • 6 - Handson Testing the Vertex AI Generated a Sentence Embedding.mp4 (52.4 MB)
    4 - Vertex AI Text Embedding API and Embeddings Crash Course Deep Dive
    • 10 - The Embeddings API Text vs Multimodal Embeddings Overview.mp4 (16.4 MB)
    • 11 - Task Types and Benefits.mp4 (21.6 MB)
    • 12 - Multimodal Embeddings Diagram.mp4 (10.7 MB)
    • 13 - Handson Embeddings Length Dimension.mp4 (41.0 MB)
    • 14 - Handson Run Cosine Similarity Search on Different Sentences.mp4 (59.2 MB)
    • 15 - Handson Visualize Embeddings.mp4 (124.0 MB)
    • 16 - Summary.mp4 (9.2 MB)
    • 7 - Introduction to Vertex AI and Capabilities Overview.mp4 (57.3 MB)
    • 8 - OPTIONAL Embeddings Crash Course.mp4 (22.2 MB)
    • 9 - How are Embeddings Used in GenAI and LLMs and Use Cases.mp4 (32.3 MB)
    5 - Text Generation with Vertex AI Text Embedding API
    • 17 - TextGenerationModel Generating Text Using bison Model.mp4 (46.3 MB)
    • 18 - Handson Text Generation Classification Use Case.mp4 (65.2 MB)
    • 19 - Handson Extract Information into Tables and JSON Formats.mp4 (34.6 MB)
    • 20 - Handson Controlling Temperature for the Model.mp4 (24.2 MB)
    • 21 - Handson TopK and TopP.mp4 (32.1 MB)
    • 22 - Handson Transcript Summarization and Extraction.mp4 (56.9 MB)
    6 - Handson Application and Realworld Use Cases of Embeddings
    • 23 - Cluster Visualization of StackOverflow Question and Answers in 2D.mp4 (249.0 MB)
    • 24 - Build Your RAG System with the StackOverflow Data.mp4 (238.7 MB)
    • 25 - Scale with the Approximate Nearest Neighbor Search HNSW vs Cosine Similarity.mp4 (57.4 MB)
    7 - Next Steps
    • 26 - Course Summary and Next Steps.mp4 (10.8 MB)
    • Bonus Resources.txt (0.4 KB)

Code:

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