Google Cloud Build with AI
Agents Discuss building sophisticated AI agents with tools like Vertex AI Agent Builder, multi-agent systems, tool use, and integrating with frameworks for creating autonomous AI applications. Generative AI & Foundational Models Discuss Generative AI using Google’s foundational models like Gemini and Imagen, including prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning. Conversational Agents (Dialogflow CX) Discuss designing, building, and deploying conversational AI applications using Google Cloud services like Dialogflow and Contact Center AI. AI APIs Discuss integrating Google Cloud’s pre-trained AI APIs, including Vision, Video, Natural Language, Translation, Speech, and Document AI, into your applications. AI Solutions Discuss and explore the latest advancements, applications, and challenges in the field of Artificial Intelligence and AI-driven solutions. AI Infrastructure Discuss training, tuning and serving on IaaS with AI-optimized hardware, including tips for optimizing performance, working with popular and open ML frameworks, libraries, compilers and runtimes. Custom ML & MLOps Discuss training, deploying, and managing your custom machine learning models on Vertex AI, sharing best practices for MLOps, Vertex AI Pipelines, Feature Store, Model Registry, and monitoring your ML workloads. Open Models Discuss about building and deploying with publicly available foundation models like Llama, Gemma, Deepseek, Qwen and many others. This category covers key topics such as benchmarking, fine-tuning, serving, evaluation and more.
