Streamlining Distributed Graph-based LLM and AI Infrastructure #docker #ai #machinelearning

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.

Learn more: Distributed Cloud-Native Graph Database with NebulaGraph Docker Extension: https://www.docker.com/blog/distributed-cloud-native-graph-database-nebulagraph-docker-extension/

Links:
Docker.com: https://www.docker.com/
Artificial Intelligence and Machine Learning With Docker: https://www.docker.com/products/ai-ml-development/

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