H2O.ai has launched h2oGPTe, a multi-agent platform that combines generative and predictive AI to enhance the consistency and accuracy of AI agents for enterprises. This platform is designed for sectors like finance and healthcare, enabling agents to analyze multimodal data and automate complex workflows while ensuring data traceability and customizable guardrails. The integration of predictive models aims to address the challenge of variability in AI responses, providing organizations with reliable insights and decision-making support.
H2O.ai has launched two new vision-language models, H2OVL Mississippi-2B and H2OVL Mississippi-0.8B, designed for document analysis and OCR tasks, showcasing competitive performance against larger models from tech giants. The 0.8B model excelled in the OCRBench Text Recognition task, while the 2B model demonstrated strong performance across various benchmarks. By offering these models on Hugging Face, H2O.ai aims to make AI technology more accessible and efficient for businesses dealing with document-heavy workflows.
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