| 1 - Introduction and About the Course Prerequisites.mp4 | 12.9 MB | ||
| 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 MB | ||
| 14 - Handson Run Cosine Similarity Search on Different Sentences.mp4 | 59.2 MB | ||
| 15 - Handson Visualize Embeddings.mp4 | 124 MB | ||
| 16 - Summary.mp4 | 9.2 MB | ||
| 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 | ||
| 2 - Course Structure.mp4 | 3.9 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 | ||
| 23 - Cluster Visualization of StackOverflow Question and Answers in 2D.mp4 | 249 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 | ||
| 26 - Course Summary and Next Steps.mp4 | 10.8 MB | ||
| 3 - Download Source code.html | 204.8 B | ||
| 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 | ||
| 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 | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 28 total files | |||
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
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