https://github.com/htanh2003/genai-5day-google

Repository for the 5-Day Generative AI Intensive Course with Google, covering foundational models, embeddings, generative agents, domain-specific LLMs, and MLOps for Gen AI
https://github.com/htanh2003/genai-5day-google

ai-agents generative-ai google large-language-models mlops

Last synced: about 1 year ago
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Repository for the 5-Day Generative AI Intensive Course with Google, covering foundational models, embeddings, generative agents, domain-specific LLMs, and MLOps for Gen AI

• Host: GitHub
• URL: https://github.com/htanh2003/genai-5day-google
• Owner: HTAnh2003
• Created: 2024-11-13T17:11:19.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-21T09:38:56.000Z (about 1 year ago)
• Last Synced: 2025-04-28T15:19:41.925Z (about 1 year ago)
• Topics: ai-agents, generative-ai, google, large-language-models, mlops
• Language: Jupyter Notebook
• Homepage: https://rsvp.withgoogle.com/events/google-generative-ai-intensive/
• Size: 18.5 MB
• Stars: 2
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# GenAI-5day-Google

![Generative AI Intensive](https://pbs.twimg.com/media/Gbot5feXUAAjOD-?format=jpg&name=4096x4096)

## Introduction

This is the repository for the **5-Day Gen AI Intensive Course with Google**

### What is the 5-Day Generative AI Intensive?

This is a 5-day online course from November 11 to November 15, designed to help you deeply understand some of the fundamental technologies and techniques behind Generative AI. Created by a team of Google’s ML researchers and engineers, this program includes both in-depth theoretical insights and practical coding examples, enabling you to confidently tackle new Generative AI projects.

## Course Content

- **Day 1: Foundational Models & Prompt Engineering**

  - Explore the evolution of large language models (LLMs), from transformers to techniques like fine-tuning and inference acceleration. Learn the art of prompt engineering to optimize interactions with LLMs.

- **Day 2: Embeddings and Vector Stores/Databases**

  - Learn about the theoretical foundations of embeddings and vector databases, including embedding methods, vector search algorithms, real-world applications with LLMs, and their trade-offs.

- **Day 3: Generative AI Agents**

  - Understand how to build sophisticated AI agents by learning their core components and iterative development processes.

- **Day 4: Domain-Specific LLMs**

  - Dive into the creation and application of specialized language models like SecLM and Med-PaLM, with insights from the researchers who developed them.

- **Day 5: MLOps for Generative AI**

  - Discover how to adapt MLOps practices for Generative AI and leverage Vertex AI tools for foundational models and generative AI applications.

## Notes and Resources

- Lecture notes and relevant materials will be added here daily throughout the course.

- Example code, experimental results, and personal insights will also be shared in this repository.

## Join Me!

If you’re also participating in this course, feel free to join the learning journey by opening issues or contributing via pull requests.

## Contact

Feel free to reach out if you have any questions!