Customize and deploy open source AI models, create your own digital assistants and business GPTs.
Open weight small vision-language models for OCR and Document AI
Assess the performance, reliability, safety, and effectiveness of RAG and LLM-based applications.
By H2O.ai Team | minute read | August 03, 2015
Thank you to Chicago for the great meetup on 29 July 2015. Slides have been posted on GitHub . The links to the sample scripts and data is contained in the slides. If you have any further questions about H2O, please join our GoogleGroup or chat with us on Gitter .
The slides are also available on the H2O Slideshare :
Also, thank you to Serendipity Labs ; a great space and location!
Enjoy H2O and let us know about your data science / machine learning journey!
-Hank
@hankroark
At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.
Today we have evolved into a global company built by people from a variety of different backgrounds and skill sets, all driven to be part of something greater than ourselves. Our partnerships now extend beyond the open-source community to include business customers, academia, and non-profit organizations.
Make data and AI deliver meaningful and significant value to your organization with our platform.