H2O.ai Blog

AI for Climate Science: Insights from the LEAP Atmospheric Physics Competition

Model Selection | Routing you to the best LLM

LLM DataStudio - V6.0 Release

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

H2O LLM DataStudio: V4.1 Release

Reducing False Positives in Financial Transactions with AutoML

In an increasingly digital world, combating financial fraud is a high-stakes game. However, the systems we deploy to safeguard ourselves are raising too many false alarms, with over 90% of fraud alerts being false positives. These false positives, not only frustrating for consumers but also costly for financial institutions, can eclipse t...

Winner'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...

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

H2O LLM DataStudio: Streamlining Data Curation and Data Preparation for LLMs related tasks

A no-code application and toolkit to streamline data preparation tasks related to Large Language Models (LLMs) H2O LLM DataStudio is a no-code application designed to streamline data preparation tasks specifically for Large Language Models (LLMs). It offers a comprehensive range of preprocessing and preparation functions such as text cl...

Navigating the challenges of time series forecasting

Jon Farland is a Senior Data Scientist and Director of Solutions Engineering for North America at H2O.ai. For the last decade, Jon has worked at the intersection of research, technology and energy sectors with a focus on developing large scale and real-time hierarchical forecasting systems. The machine learning models that drive these for...

10 Consejos para Convertirte en un Científico de Datos Exitoso

La ciencia de datos llegó para quedarse. Los científicos de datos utilizan sus habilidades para ayudar a las empresas a tomar mejores decisiones sobre sus productos, servicios, a optimizar procesos, ahorrar y mejorar rentabilidad. Convertirse en un científico de datos de éxito implica muchos aspectos y el estudio continuo, ya que es un...

Fast csv writing for R

R has traditionally been very slow at reading and writing csv files of, say, 1 million rows or more. Getting data into R is often the first task a user needs to do and if they have a poor experience (either hard to use, or very slow) they are less likely to progress. The data.table package in R solved csv import convenience and speed in 2...