Exploring H2O.ai's Machine Learning Magic

Democratizing Generative AI with h2oGPT

• h2oGPT: An open-source generative AI allowing organizations to utilize large language models while maintaining data ownership.
• Document Analysis:
  • Private chat with documents to extract insights.
  • Automated data labeling and processing from various document types, including blurry images and handwritten content.
• Recognition:
  • H2O.ai is recognized as a Visionary in the 2023 Gartner® Magic Quadrant™ for Cloud AI Developer Services.
  • Over 20,000 global organizations, including AT&T, PayPal, and Coca Cola Femsa, use H2O.ai.
• LLM Studio Suite:
  • Allows the creation of custom GPTs.
  • Offers no-code fine-tuning for large language models.
  • Features include data preparation, evaluation, and app creation for LLMs.
• AI Applications:
  • Convert unstructured data into Q:A pairs.
  • Fine-tune large language models.
  • Compare performance of various LLMs.
  • Develop AI applications quickly.
• Data Labeling:
  • H2O Label Genie uses AI, like zero-shot models, to label datasets for computer vision, NLP, and audio tasks.
• Deep Learning:
  • Hydrogen Torch provides an engine to train deep learning models rapidly without coding.
• Driverless AI:
  • An award-winning platform for automatic machine learning (AutoML) that handles feature engineering, model building, visualization, and interpretability.
• AI Cloud:
  • An all-inclusive data science and ML platform powered by AutoML and no-code deep learning engines. It works across various cloud platforms and on-premise environments.