H2O.ai Blog
By: h2oai
H2O fans, the H2O.ai team is burning the midnight oil to get H2O World ready for you all. With an audience size twice that of last year’s event we’re going to pack the house at the Computer History Museum! This year’s event will feature 70+ speakers spread out over 41 talks, 22 training sessions and eight panels during the course of the most exciting three days a data scientist could ask for. These folks are amongst the leading lights in our industry including Hilary Mason, Monica Rogati and Stanford Professors Stephen Boyd and Rob Tibshirani.
Right now our awesome new QA team members are burning over 1,000 USB sticks filled to the brim with new content. We’re especially excited for you all to see use cases from your colleagues across a wide variety of industries including ad tech, insurance and finance and from companies like Progressive, Macy’s, PayPal and AT&T. Stay tuned for a follow up outlining all of Monday’s events, we’ve got some surprises in store!
If there’s something YOU want to see at the show Tweet us @H2Oai #h2oworld
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
September 22, 2023 - by Genevieve Richards, Tarique Hussain and Shivam Bansal
Building a Fraud Detection Model with H2O AI Cloud
In a previous article[1], we discussed how machine learning could be harnessed to mitigate fraud.
July 28, 2023 - by Asghar Ghorbani
A Look at the UniformRobust Method for Histogram Type
Tree-based algorithms, especially Gradient Boosting Machines (GBM's), are one of the most popular algorithms used.
July 25, 2023 - by Hannah Tillman and Megan Kurka
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,
July 19, 2023 - by Srinivas Neppalli, Abhay Singhal and Michal Malohlava
