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H2O.ai

h2o.ai
Summary

H2O.ai provides an end-to-end AI platform that converges predictive and generative AI for enterprise use. It offers solutions for building, deploying, and managing AI models, including large language models, with a focus on data privacy, security, and compliance. The platform supports various deployment options, including on-premises and cloud, and features tools for model validation, fine-tuning, and MLOps.

Features
9/13
See all

Must Have

5 of 5

Conversational AI

API Access

Safety & Alignment Framework

Fine-Tuning & Custom Models

Enterprise Solutions

Other

4 of 8

Image Generation

Multimodal AI

Research & Publications

Security & Red Teaming

Code Generation

Synthetic Media Provenance

Threat Intelligence Reporting

Global Affairs & Policy

Rationale

H2O.ai offers an end-to-end AI platform with both predictive and generative AI capabilities. It explicitly mentions conversational AI through 'Enterprise h2oGPTe' and 'Open Source h2oGPT', which allow for creating digital assistants and business GPTs. API access is available for integrating their generative AI capabilities. The platform emphasizes safety and alignment through 'H2O Model Validation for LLMs' and features like guardrails and bias detection. Fine-tuning and custom models are supported via 'H2O LLM Studio' for no-code fine-tuning. Enterprise solutions are a core offering, with deployments for air-gapped, on-premises, or cloud VPC environments, and features like cost controls and scalability. Image generation is supported through 'H2OVL Mississippi' for vision-language models and Document AI, which handles images. Multimodal AI is evident with H2OVL Mississippi supporting vision-language models and the ability to process various data types including text, images, and audio. Research and publications are available through their 'Research Papers' section. Security and red teaming are addressed through 'H2O Model Validation for LLMs' which includes automated testing, human calibration, and failure analysis to boost compliance and risk control, and 'Responsible AI' practices.