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[ DevCourseWeb com ] Udemy - Master Vertex AI - Leveraging LLMs with Text-Embeddings API
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1 - Introduction
1 - Introduction and About the Course Prerequisites.mp4
2 - Course Structure.mp4
2 - Download Source Code
3 - Download Source code.html
3 - Development Environment Setup Google Cloud Platform Setup
4 - Development Environment Setup and API Costs Overview.mp4
5 - Google Cloud Setup.mp4
6 - Handson Testing the Vertex AI Generated a Sentence Embedding.mp4
4 - Vertex AI Text Embedding API and Embeddings Crash Course Deep Dive
10 - The Embeddings API Text vs Multimodal Embeddings Overview.mp4
11 - Task Types and Benefits.mp4
12 - Multimodal Embeddings Diagram.mp4
13 - Handson Embeddings Length Dimension.mp4
14 - Handson Run Cosine Similarity Search on Different Sentences.mp4
15 - Handson Visualize Embeddings.mp4
16 - Summary.mp4
7 - Introduction to Vertex AI and Capabilities Overview.mp4
8 - OPTIONAL Embeddings Crash Course.mp4
9 - How are Embeddings Used in GenAI and LLMs and Use Cases.mp4
5 - Text Generation with Vertex AI Text Embedding API
17 - TextGenerationModel Generating Text Using bison Model.mp4
18 - Handson Text Generation Classification Use Case.mp4
19 - Handson Extract Information into Tables and JSON Formats.mp4
20 - Handson Controlling Temperature for the Model.mp4
21 - Handson TopK and TopP.mp4
22 - Handson Transcript Summarization and Extraction.mp4
6 - Handson Application and Realworld Use Cases of Embeddings
23 - Cluster Visualization of StackOverflow Question and Answers in 2D.mp4
24 - Build Your RAG System with the StackOverflow Data.mp4
25 - Scale with the Approximate Nearest Neighbor Search HNSW vs Cosine Similarity.mp4
7 - Next Steps
26 - Course Summary and Next Steps.mp4
Bonus Resources.txt
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