What's changed: Created Generative AI Leader Chapter 2 (Domain 2 "Google Cloud's generative AI offerings": Gemini and models/Agent Platform = Gemini/Imagen/Veo/Chirp/Model Garden/Agent Platform/Agent Studio on Gemini Enterprise Agent Platform; gen AI embedded in work = Gemini for Workspace/Gemini for Google Cloud/NotebookLM/Conversational Agents (Customer Engagement Suite); agents and grounding = agentic AI/Vertex AI Agent Builder/Grounding/AI infrastructure (TPU/GPU)).
2.1Gemini, the model family, and Agent Platform
Understand Google core generative AI model Gemini (multimodal), modality-specific models such as Imagen (image), Veo (video), and Chirp (audio), Model Garden for choosing among foundation models, and Agent Platform and Agent Studio on Gemini Enterprise Agent Platform as the platform to build and use AI.
Google Cloud offers generative AI at the levels of models, platform, and apps. Leaders must choose "which service at which level" based on the use case and in-house capability. First, the core models and the platform to use them.
2.1.1Gemini and modality-specific models
Gemini is Google core multimodal generative AI model, generating/summarizing/classifying text and also understanding images and audio. Depending on the use case, there are modality-specific models such as Imagen for image generation, Veo for video generation, and Chirp for audio (transcription and speech). Model Garden lets you browse and use these diverse foundation models (Google, open, and third-party).
2.1.2Agent Platform and Agent Studio on Gemini Enterprise Agent Platform
Agent Platform is the unified platform to build, tune, deploy, and operate these foundation models for business. It covers model selection (Model Garden), prototyping prompts (Agent Studio on Gemini Enterprise Agent Platform), fine-tuning, grounding, and building agents (later sections) end to end. For quick experiments you try prompts in Agent Studio on Gemini Enterprise Agent Platform; for production you embed them into apps on Agent Platform.
| Goal | Service/model |
|---|---|
| Text gen/summarize, multimodal understanding | Gemini |
| Generate images | Imagen |
| Generate video | Veo |
| Transcribe/generate audio | Chirp |
| Choose among foundation models | Model Garden |
| Platform to build/operate AI | Agent Platform (prototype in Agent Studio on Gemini Enterprise Agent Platform) |
Common: goal → service. E.g., "text generation/multimodal" = Gemini; "image generation" = Imagen; "video generation" = Veo; "audio" = Chirp; "catalog to choose models" = Model Garden; "platform to build/operate AI" = Agent Platform; "prototype prompts" = Agent Studio on Gemini Enterprise Agent Platform.
Watch the mix-ups: (1) Gemini = model, Agent Platform = platform to use them. (2) Do not confuse modality-specific roles (Imagen=image/Veo=video/Chirp=audio). (3) Model Garden (choose models) vs Agent Studio on Gemini Enterprise Agent Platform (prototype prompts) differ.
2.1.3Section summary
- Gemini = core multimodal generative AI model; image=Imagen/video=Veo/audio=Chirp
- Model Garden = choose foundation models; Agent Platform = build/operate platform; Agent Studio on Gemini Enterprise Agent Platform = prototype
- Separate the model (what to generate) from the platform (where to build)
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Quick check
(just a quick review)Q1. Which is Google core multimodal generative AI model that handles text plus images and audio?
Q2. Which Google model do you use to generate images?
Q3. Which Google Cloud platform builds, tunes, deploys, and operates foundation models end to end?
Q4. Which lets you browse and choose among diverse foundation models (Google, open, third-party)?
Q5. Before production, which do you use to quickly prototype and test prompts?
Q6. Which correctly describes the relationship between Gemini and Agent Platform?
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