h2oGPTe Agentic AI converges generative AI and predictive with purpose-built SLMs

What this post added

This post introduces h2oGPTe Agentic AI, an extension of H2O's LLM capabilities. It details the integration of Generative AI with Predictive AI through a multi-agent platform. Key technical contributions include multimodal analysis (audio/vision), a coding assistant for rapid prototyping, autonomous agentic AI for multi-step workflows, citation-based Retrieval Augmented Generation (RAG) for transparency, customizable guardrails for AI safety, intelligent model routing for optimal LLM selection, and model risk management with embedding-based metrics and human feedback calibration. It also highlights on-premise and air-gapped deployment options, scalability via Kubernetes, and performance metrics like 100+ queries/minute on single GPU deployments.