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 | April 17, 2013
Todd Holloway hosts the SF Data Mining meetup at Trulia and brings a lot of goodness to the community of data scientists here. We are fortunate to present for his group and bigdataweek . 0xdata’s own SriSatish Ambati will be giving a talk on H2O. Sri’s talk will dive into scaling GLM (Generlaized Linear Model), Random Forest , and other popular algorithms to use on big data such as the AllState Kaggle dataset.
Also speaking is Mikio Braun , who is visiting San Francisco from Germany. He will be talking about mining data streams using streamdrill .
With over 250 RSVP’s its looking like its going to be a good one. You can sign up here.
The SF Data Mining meetup focuses on all aspects of the data pipeline–from data acquisition and big data storage to machine learning and data visualization
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.
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