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Introducing the h2oGPTe GitHub Action
by Julian Garratt, Issac Liu | November 19, 2025 Agentic AI, Enterprise h2oGPTe

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LLM DataStudio - V6.0 Release
by Nishaanthini Gnanavel, Genevieve Richards, Laksika Tharmalingam, Prathushan Inparaj | September 12, 2024 Data Preparation, Generative AI

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Open-Weight AI Models: A Path to Responsible Innovation
by Sri Ambati | April 04, 2024 GenAI App Store, H2O-3, Responsible AI, h2oGPT

H2O.ai response to the recent Request for Comments (RFC) issued by the National Telecommunications and Information Administration (NTIA) on open-weight AI models.

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H2O LLM DataStudio: V4.1 Release
by Nishaanthini Gnanavel, Genevieve Richards, Tarique Hussain | January 16, 2024 Data Preparation, Generative AI

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Boosting LLMs to New Heights with Retrieval Augmented Generation

Businesses today can make leaps and bounds to revolutionize the way things are done with the use of Large Language Models (LLMs). LLMs are widely used by businesses today to automate certain tasks and create internal or customer-facing chatbots that boost efficiency. Challenges with dynamic adaption of LLMs As with any new hyped-up thing that […]

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Entrenando Tu Propio LLM Sin Programación
by Favio Vazquez | October 06, 2023 Generative AI, H2O LLM Studio

This blog was originally published in English here: https://www.analyticsvidhya.com/blog/2023/09/training-your-own-llm-without-coding/ Introducción La Inteligencia Artificial Generativa, un campo fascinante que promete revolucionar cómo interactuamos con la tecnología y generamos contenido, ha causado sensación en el mundo. En este artí...

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H2O LLM DataStudio Part II: Convert Documents to QA Pairs for fine tuning of LLMs
by Genevieve Richards, Tarique Hussain, Shivam Bansal | September 22, 2023 Generative AI, H2O LLM Studio

Convert unstructured datasets to Question-answer pairs required for LLM fine-tuning and other downstream tasks with H2O LLM Data Studio Curate. Every organization needs to own its GPT as simply as it needs to bring its data, algorithms, and models (read more here). A common problem we see in organizations is that they want to be […]

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Testing Large Language Model (LLM) Vulnerabilities Using Adversarial Attacks
by Kim Montgomery, Pramit Choudhary, Michal Malohlava | July 19, 2023 Generative AI, H2O LLM Studio, LLM Limitations, LLM Robustness, LLM Safety, Large Language Models, Responsible AI

Adversarial analysis seeks to explain a machine learning model by understanding locally what changes need to be made to the input to change a model’s outcome. Depending on the context, adversarial results could be used as attacks, in which a change is made to trick a model into reaching a different outcome. Or they could be used as an exp...

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H2O LLM EvalGPT: A Comprehensive Tool for Evaluating Large Language Models
by Srinivas Neppalli, Abhay Singhal, Michal Malohlava | July 19, 2023 Generative AI, Large Language Models, h2oGPT

In an era where Large Language Models (LLMs) are rapidly gaining traction for diverse applications, the need for comprehensive evaluation and comparison of these models has never been more critical. At H2O.ai, our commitment to democratizing AI is deeply ingrained in our ethos, and in this spirit, we are thrilled to introduce our innovati...

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Winner's Insight: Navigating the Parkinson's Disease Prediction Challenge with AI
by Parul Pandey | July 03, 2023 AI4Good, Healthcare, Kaggle, Kaggle Grandmasters, Machine Learning

Parkinson’s disease, a condition affecting movement, cognition, and sleep, is escalating rapidly. By 2037, it is projected that around 1.6 million U.S. residents will be confronting this disease, resulting in significant societal and economic challenges. Studies have hinted that disruptions in proteins or peptides could be instrumental in...

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Recap of H2O World India 2023: Advancements in AI and Insights from Industry Leaders
by Parul Pandey | May 29, 2023 AI4Good, Community, H2O World

On April 19th, the H2O World made its debut in India, marking yet another milestone in its global journey. The conference gathered an array of notable experts and enthusiasts from deep learning, artificial intelligence, and data science. A broad spectrum of topics was covered, shedding light on the strides made in AI technology and its ...

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AI and Humans Combating Extinction Together with Dr. Tanya Berger-Wolf
by Liz Pratusevich | March 01, 2023 Artificial Intelligence, H2O World

Dr. Tanya Berger-Wolf , Co-Founder and Director of AI for conservation nonprofit Wild Me , takes the stage at H2O World Sydney 2022 to discuss AI solutions for wildlife conservation, connecting data, people, and machines. AI can turn a massive collection of images into high-resolution information databases about wildlife, enabling scienti...

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