
Explore enterprise H2O GPT, a private, on-premise or cloud generative AI platform for internal documents, using retrieval augmented generation and vector databases to deliver context-aware, privacy-preserving answers.
Explore enterprise H2O GPTe by outlining end-to-end pipelines, navigating the GPTe UI, automating workflows, and building and publishing apps with H2O Wave.
Explore the end to end pipeline in H2O GPTe by using the UI, experimenting with LLMs and prompts, productionizing via a Python API, and publishing a Wave app.
Explore H2O GPTe, an enterprise platform that integrates multiple LLMs and showcases chat capabilities, a strong RAG feature, and transcription of uploaded documents, websites, or audio for information extraction.
Navigate the H2O GPTe platform to explore chats, collections, and documents, compare multiple LLMs—including commercial and open-source—and test how different models respond to questions about Hamilton.
Explore collections to upload multiple sources, convert a web page into a document, move text to a vector database, and query it with an LLM via RAG for precise answers.
See how the references feature reveals web-page sources. Compare RAG with a plain LLM on questions about the first act of the Hamilton musical play.
Load survey answers into a collection with h2oGPTe, configure RAG with the mixed option, extract the top 10 topics from inline 'why' responses, and output them as a Python list.
Examine the freemium enterprise h2oGPTe and its Python API across apps. Sign in for free, use LLMs with a $10 daily quota, and track prompt costs.
Automate production-ready workflows with the H2O GPTe Python API by connecting securely, uploading data, and running chat sessions to leverage LLMs and publish results via a Wave app.
Learn to build dynamic web apps with H2O Wave, turning a notebook into an app that analyzes survey data, extracts top topics, and visualizes results with charts.
Explore the foundations of LM agents and LM chains, and how enterprise H2O GPT uses tools, routing, and Gaia benchmarking to build capable AI assistants.
Dive into the cutting-edge world of Enterprise AI with our comprehensive "H2O GPTe: Foundational to Advanced Techniques" course. This in-depth program combines two essential courses from H2O ai University, providing you with a thorough understanding of H2O GPTe from basic concepts to advanced applications.
Led by industry experts Andreea Turcu, Greg Fousas, and Laurene De Peyrelongue, you will embark on a journey through AI-powered search, enterprise AI solutions, advanced Retrieval-Augmented Generation (RAG) techniques, and Python API integration. This course is designed to equip you with the skills needed to revolutionize your organization's data strategies and decision-making processes.
Throughout the course, you'll gain hands-on experience in:
Leveraging AI-powered search for efficient information retrieval
Implementing enterprise AI solutions using commercial and open-source Large Language Models (LLMs)
Extracting valuable insights from various data types using advanced RAG techniques
Optimizing H2O GPTe's features within freemium constraints
Developing automated workflows with the H2O GPTe Python API
Creating dynamic, AI-driven web applications using H2O Wave
Whether you're a data scientist, AI enthusiast, or business professional looking to harness the power of AI in your organization, this course will provide you with the knowledge and practical skills to stay at the forefront of enterprise AI technology.
By the end of this course, you'll be well-equipped to implement sophisticated AI solutions, transform your data analysis processes, and drive innovation within your organization using H2O GPTe.