H2O.ai Blog

5 Takeaways from TD Bank and H2O.ai on the Future of Agentic AI in Banking

H2O.ai Tops the General AI Assistant (GAIA) Test

H2O.ai Tops GAIA Leaderboard: A New Era of AI Agents

LLM DataStudio - V6.0 Release

H2O LLM DataStudio: V5.0 Release: Automatically Create your own Evaluation datasets (Custom RAG Evals)

Announcing H2O Danube 2: The next generation of Small Language Models from H2O.ai

Transformando Empresas Latinoamericanas con Inteligencia Artificial: Estrategias y Perspectivas

Unlocking GenAI Magic: GenAI AppStudio Revolutionizes App Development with LLMs! (Part 2)

H2O LLM DataStudio: V4.1 Release

Introducing the H2O GenAI App Store: A Playground of Generative AI Innovation

Apresentamos a H2O GenAI App Store: um Playground de Inovação em Inteligência Artificial Generativa.

Presentamos la H2O GenAI App Store: Un Playground de Innovación en Inteligencia Artificial Generativa.

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 […]

Entrenando Tu Propio LLM Sin Programación

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...

H2O LLM DataStudio Part II: Convert Documents to QA Pairs for fine tuning of LLMs

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 […]

Testing Large Language Model (LLM) Vulnerabilities Using Adversarial Attacks

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...

H2O LLM EvalGPT: A Comprehensive Tool for Evaluating Large Language Models

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...

Generating LLM Powered Apps using H2O LLM AppStudio – Part1: Sketch2App