Fundamentals of gen AI — Generative AI Leader

The official GCP documentation our Fundamentals of gen AI practice questions are cited to. Review the primary sources, then practise.

Official references for this objective

Google Cloud — Vision AI: Image and visual AI tools | Google Cloud

a family of cutting-edge, multimodal model that is capable of understanding virtually any input, combining different types of information, and generating almost any output
Google Cloud — Cloud Translation | Google Cloud

Translation Large Language Model (LLM) for conversational text like messages or social media posts. You can use "Adaptive" mode to fine-tune translations based on your
Google Cloud — Gemini Enterprise Agent Platform (formerly Vertex AI) | Google Cloud

Our Model Evaluation service provides enterprise-grade tools for objective, data-driven assessment of generative AI models.
Google Cloud — Physical AI | Google Cloud

Genie 3 or NVIDIA Cosmos —‘world models’—to give Physical Agents an expansive digital sandbox to try, fail and improve. Input text, image, video, and movement
Google Cloud — Google AI Studio vs. Gemini Enterprise Agent Platform vs. Gemini Enterprise app | Google Cloud

Google AI Studio is the fast path for developers, students, and researchers who want to try Gemini models and get started building