11-07, 14:35–15:15 (US/Eastern), Central Park West
In this talk we cover the OSS AI ecosystem and key technologies that help AI to get to production. We focus on Knowledge Graphs and the GraphRAG pattern to use ground truth and long-range relationships in the data, bringing high quality data to bear on GenAI use cases.
In a year since PyData NYC, we have seen the key forces of OSS AI kick Ito gear. The AI Alliance, a new community group, and Generative AI Commons at the Linux Foundation, were established and keep growing. The Llama 3.1 405B became the first OSS frontier model.
But most importantly, the ecosystem of OSS AI has evolved and now includes both the ChatGPT era startups and the foundational technologies enabling LLMs to get real.
Graphs underpin one such area. It is key to building the deployable and hirable AI. Knowledge Graphs hold the keys to validation and ground-truthing of LLMs. A vast experience of building knowledge bases, and the amount of data stored in them, is one pillar of production-ready AI. The other is constructing graphs with LLMs and using them to enhance the quality of answers.
In this talk, Dr. Alexy Khrabrov, now the first AI Community Architect at Neo4j, a category-defining graph database company, reviews the advances in OSS AI linked to GraphRAG, the new pattern of quality in AI, and outlines the integrations that will drive the next chapter of making AI real. One of the use cases is the Map of Open-Source Science at NumFOCUS.
No previous knowledge expected
Alexy Khrabrov is the AI Community Architect at Neo4j. He is a cofounder of the AI Alliance and the founder and chair of Open-Source Science at NumFOCUS. Alexy was the founding chair of the Generative AI Commons at the Linux Foundation for AI and Data, where he is now a framework co-chair. Dr. Khrabrov is a founder and organizer of Bay Area AI, the most established AI meetup in the Bay Area continuously run since 2015, and Scale By the Bay, and independent developer conference run since 2013. He was. Chief Scientist at Nitro, an Australian public company developing Smart Documents, a software engineer at Amazon, and a cofounder and engineer at several Silicon Valley startups. He blogs at chiefscientist.org.