Are you intrigued by the potential of streamlining distributed graph-based machine learning and AI infrastructure? This DockerCon talk explores the fundamental concepts of graph, graph databases, and NebulaGraph. Learn about the integration of graph + Large Language Models (LLM) and how this combination enhances both existing LLM stacks and knowledge graph processes. Find out how leveraging Docker optimizes infrastructure, accelerates dev/production deployment, and enhances AI development efficiency.
Presentation: Streamlining Distributed Graph-based LLM and AI Infrastructure with Docker Extension
Speaker: Siwei Gu, Chief Evangelist, NebulaGraph
Learn more: Distributed Cloud-Native Graph Database with NebulaGraph Docker Extension: https://www.docker.com/blog/distribut...
Links:
Docker.com: https://www.docker.com/
Artificial Intelligence and Machine Learning With Docker: https://www.docker.com/products/ai-ml...
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