Google

Google just launched the Gemini Enterprise Agent Platform, evolving Vertex AI into a full-stack solution for building, scaling, governing, and optimizing AI agents. This isn’t just another toolset—it’s designed to handle the mess of real-world enterprise deployments. What Happened The platform combines model selection from over 200 options (including Gemini models, Gemma, and third-party like Claude), with low-code and code-first building tools. Key additions include Agent Studio for visual building, upgraded Agent Development Kit (ADK) for complex logic, and new features like Agent Runtime for long-running workflows, Memory Bank for persistent context, and governance tools like Agent Identity and Gateway. ...

Google made a splash at its recent Cloud Next conference with a slew of updates to Vertex AI, its machine learning platform. These updates focus on three key areas: expanding Large Language Model (LLM) capabilities, streamlining Machine Learning Operations (MLOps), and introducing a new agent builder tool. Supercharged LLMs: More Context, Audio Processing, and Live Images Vertex AI now boasts a public preview of the mighty Gemini 1.5 Pro LLM. This powerhouse model tackles massive datasets with its 1-million-token context support. Google claims this eliminates the need for fine-tuning or complex retrieval augmented generation (RAG) techniques for many enterprises. ...