
Explore data preparation for large language models with LLM Data Studio and Python API. Learn to curate, clean, and convert documents into Q&A and summaries for training.
Explore fine-tuning large language models with no-code LLM Studio, from foundation models to domain-specific datasets, and run experiments with real-time monitoring and deployment options.
This lecture demystifies GPT concepts and introduces H2O GPT, highlighting open-source LLMs and on-premises deployment for data privacy. See how H2O GPT supports tuning, document summarization, and interactive chat workflows.
Learn to build and customize your own GPT using h2oGPT and H2O LLM Studio, explore prompt engineering, data-grounding, and fine-tuning for tailored local AI.
Discover GenAI AppStudio’s sketch2app and prompt2app pipelines that convert sketches or prompts into multi-page apps with real data, integrated llm, rag, and h2oGPT, plus customization studio.
Discover Gen AI with h2o.ai's Gen App Store, featuring privately hosted, secure LLMs and no-code apps for secure data ingestion, retrieval, privacy, and personalized experiences.
Explore evaluating large language models with H2O LLM Eval GPT, AB testing, and the open-source Eval GPT interface to compare models, prompts, and benchmarks.
Master the end-to-end data preparation, fine-tuning, and deployment workflow for LLMs with H2O tools, including RAG and vector databases.
Immerse yourself in the H2O GenAI ecosystem with our Ecosystem Overview - Level 1 course. This fully packed course will introduce you to the powerful tools and techniques of the H2O GenAI ecosystem. Led by Andreea Turcu, Head of Global Training at H2O ai, and featuring guest lectures from expert H2O ai Makers, this course will guide you through the following key areas:
LLM Optimization:
Learn from Rob Mulla how to create your own GPT model using h2oGPT and H2O LLM Studio.
Get practical experience with LLM DataStudio and H2O ai's LLM Studio, preparing data and fine-tuning models for better performance.
Intelligent Information Retrieval:
Master h2oGPT with real-world data to extract meaningful insights.
Rigorous Model Evaluation:
Use H2O LLM EvalGPT to critically assess your models' performance, a crucial skill for real-world applications.
Rapid AI Application Development:
Shivam Bansal and Praveen Sivakumar will show you how to use GenAI AppStudio's sketch2app and prompt2app features to build and deploy AI-powered web applications.
By the end of this course, you'll have built your own language model, created an AI-powered web application, and gained practical experience in AI development and deployment strategies. This course is designed for both AI novices and seasoned practitioners looking to expand their skill set.