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29 results Category: Year:5 Takeaways from TD Bank and H2O.ai on the Future of Agentic AI in Banking
Open-Weight AI Models: A Path to Responsible Innovation
H2O.ai response to the recent Request for Comments (RFC) issued by the National Telecommunications and Information Administration (NTIA) on open-weight AI models.
Read moreIntroducing the H2O GenAI App Store: A Playground of Generative AI Innovation
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 […]
Read moreEntrenando 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...
Read moreH2O 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 […]
Read moreTesting 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...
Read moreH2O 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...
Read moreWinner's Insight: Navigating the Parkinson's Disease Prediction Challenge with AI
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...
Read moreGenerating LLM Powered Apps using H2O LLM AppStudio – Part1: Sketch2App
Recap of H2O World India 2023: Advancements in AI and Insights from Industry Leaders
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 ...
Read moreAI and Humans Combating Extinction Together with Dr. Tanya Berger-Wolf
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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