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Google Cloud Vertex AI

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Vertex AI Agent Builder

2026-03-13T03:52:39+00:00

Vertex AI Agent Builder Cheat Sheet Vertex AI Agent Builder is a platform for building, scaling, and governing enterprise-grade AI agents. It provides the foundation to transform applications and workflows into agentic systems using your enterprise data.   The Three Pillars of Vertex AI Agent Builder Pillar Core Components Core Benefit Build Open frameworks: Agent Development Kit (ADK) and OSS support (LangGraph, CrewAI). Models: Native Gemini integration and model-agnostic access (Model Garden). Tool use: RAG, search, grounding, and hundreds of connectors (BigQuery). Ecosystem: Open protocols (MCP and A2A) for interoperability. Build with flexibility using ADK or your preferred frameworks and [...]

Vertex AI Agent Builder2026-03-13T03:52:39+00:00

Google’s Secure AI Framework (SAIF)

2026-03-13T03:19:53+00:00

Google’s Secure AI Framework (SAIF) Cheat Sheet Google's Secure AI Framework (SAIF) is a conceptual framework designed to help organizations secure AI systems. It addresses top-of-mind concerns for security professionals, such as AI/ML model risk management, security, and privacy. SAIF helps ensure that when AI models are implemented, they are secure by default.   Six Core Elements of SAIF 1. Expand strong security foundations to the AI ecosystem Organizations can build on secure by default infrastructure protections developed over the last two decades to protect AI systems, applications and users. They should develop organizational expertise to keep pace with advances [...]

Google’s Secure AI Framework (SAIF)2026-03-13T03:19:53+00:00

Vertex AI Studio

2026-03-09T00:28:19+00:00

Vertex AI Studio Vertex AI Studio is a Google Cloud console tool for rapidly prototyping and testing generative AI models. It helps you streamline foundation model workflows by letting you test, tune, and deploy enterprise-ready generative AI. Google's Vertex AI Studio offers an efficient experience for discovering and refining models, settings, system instructions, and prompts through built-in experiences and a dedicated collaborative workspace environment.   Vertex AI Key Features Gemini multimodal models – Access to the latest Gemini models from Google, including Gemini 3. Prompt and test Gemini using text, images, video, or code. Try sample prompts for extracting text from [...]

Vertex AI Studio2026-03-09T00:28:19+00:00

Vertex AI Model Garden

2026-03-05T09:32:11+00:00

Vertex AI Model Garden Cheat Sheet Model Garden is a centralized AI/ML model library on Vertex AI that helps you discover, test, customize, and deploy models and assets from Google and Google partners. It provides over 200 models, with consistent deployment patterns and built-in integration with Vertex AI's tuning, evaluation, and serving capabilities. Model Categories Category Description Examples Foundation models Pretrained multitask large models that can be tuned or customized for specific tasks using Vertex AI Studio, API, or Python SDK Gemini, Imagen, Veo, Chirp Fine-tunable models Models that you can fine-tune using custom notebooks or pipelines Gemma, CodeGemma, PaliGemma [...]

Vertex AI Model Garden2026-03-05T09:32:11+00:00

Vertex AI

2026-03-04T06:11:18+00:00

Vertex AI Cheat Sheet Vertex AI is a unified machine learning (ML) platform that lets you train and deploy ML models and AI applications. It combines data engineering, data science, and ML engineering workflows, enabling teams to collaborate using a common toolset. The platform supports both generative AI (GenAI) workflows and traditional ML (AI inference) workflows with end-to-end MLOps tools and enterprise-grade controls. Key Capabilities Area Capabilities Generative AI Prompt design in Vertex AI Studio; Model Garden with 200+ models (Google foundation models like Gemini, partner models like Claude, open-source like Llama); Model customization (grounding, supervised fine-tuning, PEFT); Gen AI [...]

Vertex AI2026-03-04T06:11:18+00:00

Vertex AI Search

2026-01-31T06:44:27+00:00

Vertex AI Search Vertex AI Search is a Google Cloud service that enables developers to build AI-powered search experiences over structured and unstructured data using Google’s search and ranking technologies. It is part of the broader Vertex AI ecosystem and focuses on delivering semantic search and relevance-based retrieval rather than simple keyword matching. Vertex AI Search is commonly used as the retrieval layer for search-driven applications, including those enhanced with generative AI through Generative AI App Builder. It provides managed indexing, semantic relevance, and ranking while abstracting low-level search infrastructure management. Key points: Vertex AI Search allows applications to retrieve [...]

Vertex AI Search2026-01-31T06:44:27+00:00

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