What’s next with generative AI at Google Cloud in under 9 minutes

How to Innovate Faster with Gen AI on Google Cloud

1. Introduction to Gen AI:

   • Watch the video titled "What’s next with generative AI at Google Cloud in under 9 minutes" from the channel Google Cloud Tech.
   • The session discusses how to innovate faster with Gen AI, focusing on enterprise-ready Gen AI and its value for businesses worldwide.

2. Understanding Vertex AI:

   • Learn about Vertex AI, a platform where various agents are built.
   • Vertex AI is split into three parts: DevTools Agent Builder, Model Builder to enhance models, and Model Garden for tools and models.

3. Exploring Model Garden:

   • Model Garden includes open, first-party, and partner models curated for ease of use.
   • Discover Gemini 1.0, a chat-enhancing model, and its upcoming versions like r 2 and Gemini 1.5 with a million-context window.

4. Utilizing Imagen V1 and Chirp v 2.0:

   • Imagen V1 enables text-to-image conversion and has seen a 300% increase in usage.
   • Chirp v 2.0 is a new speech model introduced for further innovation.

5. Ensuring Responsibility and Choice:

   • Understand the importance of responsibility in AI models, including the use of invisible watermarks for authenticity.
   • Explore open models like Gemma, CodeGemma, and RecurrentGemma for innovation.

6. Collaboration with Hugging Face:

   • Learn about the integration with Hugging Face for model development within Vertex AI.

7. Model Evaluation and Management:

   • Explore how to tune, customize, and monitor models using Vertex AI.
   • Utilize the prompt management solution for version history, tagging, and sharing prompts.

8. Practical Demonstration:

   • Follow the demonstration in the video where an image's aspect ratio is changed using Outpaint in Vertex AI SDK.
   • Understand how to generate images with different aspect ratios efficiently.

9. Agent Builder Platform:

   • Learn about the Agent Builder platform that allows developers to create agents with different orchestration options and primitives.
   • Utilize the no-code layer to quickly build and publish agents within minutes.

10. Enterprise Readiness and Expansion:

    • Understand how Google Cloud ensures enterprise readiness for machine-learning models.
    • Explore the global expansion of Vertex gen AI and the commitment to responsibility and open-source tools.

11. Conclusion:

    • Recap the key components of Gen AI discussed in the video: Agent Builder, Model Builder, and the importance of making models your own.
    • Embrace the tools provided by Google Cloud for innovation and responsible AI practices.

By following these steps, you can gain insights into innovating faster with Gen AI on Google Cloud and leverage the tools and models available for your projects.