H2O AI

H2O AI's Overview

H2O.ai has released its latest open-weight small language model, H2O-Danube2-1.8B, which is designed for fine-tuning or post-training on domain-specific datasets. It is economically efficient for enterprise applications and can be easily embedded on edge devices like mobile phones and drones. The model offers cost savings on the H2O.ai Platform, with a query cost that is 200x cheaper. It also provides better accuracy, with document processing that is up to 100% cheaper. Additionally, H2O.ai offers Enterprise h2oGPTe, which allows users to process diverse data and thousands of documents or web pages, offering various functionalities such as inspection, extraction, translation, transformation, finding differences, and summarization. The platform also supports multi-modal Document AI, allowing users to work with diagrams, flowcharts, web pages, audio, video, and images. H2O.ai provides an end-to-end GenAI platform that offers flexibility and scalability, with options for cloud, hybrid, or on-premise deployments. Customers can choose from a range of LLMs, both proprietary and open-source, with H2O.ai's models offering cost savings and better accuracy. H2O Generative AI is versatile and can be used for various natural language use cases, including classification, semantic search, paraphrasing, summarization, and content generation.

H2O AI's Features

• Fine-tuning on domain-specific datasets

• Easy embedding on edge devices

• Multi-modal Document AI

H2O AI's Q&A

H2O AI's Pricing

H2O.ai offers cost savings on the H2O.ai Platform, with a query cost that is 200x cheaper. It also provides better accuracy, with document processing that is up to 100% cheaper.