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Model Selection | Routing you to the best LLM
Learn how h2oGPTe routes user queries to the best LLM based on preferences for latency, cost, or accuracy for chat and retrieval augmented generation. Welcome to Enterprise h2oGPTe, your Generative AI platform for interacting with a wide range of LLMs for chat, document question answering with Retrieval Augmented Generation, new content ...
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Announcing H2O Danube 2: The next generation of Small Language Models from H2O.ai
A new series of Small Language Models from H2O.ai, released under Apache 2.0 and ready to be fine-tuned for your specific needs to run offline and with a smaller footprint. Why Small Language Models? Like most decisions in AI and tech, the decision of which Language Model to use for your production use cases comes down to trade-offs. ...
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What's new in the latest release of H2O AI Hybrid Cloud?
Check out the complete release notes here! v23.01.0 | Apr 14, 2023 Upgraded ComponentsCore Components AI App Storev0.22.0 The AI App Store is a platform for accessing and operationalizing AI/ML applications and services that are built using H2O Wave . The 23.01.0 Hybrid Cloud release introduces multiple UI enhancements to make the us...
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Introducing H2O Hydrogen Torch: A No-code Deep Learning Framework
Over and over again we heard from customers, “deep learning is cool, but it’s hard and time consuming.” They kept asking “could someone just make it easier?” In typical “Maker” fashion, you ask, we deliver, H2O Hydrogen Torch . H2O Hydrogen Torch is a new product that enables data scientists and developers to train and deploy state-of-t...
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What Are Feature Stores and Why Are They Important?
Machine learning (ML) models are only as good as the data fed into them. In tabular problems, the data is a collection of rows (samples) and columns (features). So, you could say that tabular ML models are only as good as the features fed into them. But how do you manage features? Can you share them across the company? Can you easily reu...
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Announcing the H2O AI Feature Store
We’re really excited to announce the H2O AI Feature Store – The only intelligent feature store in the market. We’ve been working on this for many months with our co-development partner: AT&T. This enabled us to build a first-of-its-kind platform that is designed to be enterprise-grade from day 1. It is built with best-of-breed techno...
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Introducing H2O Wave
For almost a decade, H2O.ai has worked to build open source and commercial products that are on the leading edge of innovation in machine learning, from AutoML to Explainable AI . We are thrilled to announce the release of what we believe to be the future of AI Applications: H2O Wave . Wave is an open source, lightweight Python developmen...
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H2O Driverless AI Updates
We are excited to announce the new release of H2O Driverless AI with lots of improved features.Below are some of the exciting new features we have added:Version 1.6.1 LTS (April 18, 2019) – Available here Several improvements for MLI (partial dependence plots, Shapley values) Improved documentation for model deployment, time-series ...
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