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Leveraging Data Flow Programming for Scalable and Efficient AI Systems in Distributed Environments

watch on portal.gitnation.org ↗https://portal.gitnation.org/contents/leveraging-data-flow-programming-for-scalable-and-efficient-ai-systems-in-distributed-environments
Talkat JSNation US 2024 · on Thursday, 2024-11-21· at 10:45· [javascript, ai-assisted-development]

speaker

name:Satoshi Nakajima
website:http://www.mag2.com/m/0001323030.html

resources

video:https://portal.gitnation.org/contents/leveraging-data-flow-programming-for-scalable-and-efficient-ai-systems-in-distributed-environments
slides:none on file

summary

Shows how to use a data-flow programming style to manage many concurrent AI agents and their inter-agent data movement, instead of relying on Promises or async/await. Demonstrates GraphAI (the open-source reference at https://github.com/receptron/graphai) as the implementation for building scalable, distributed agentic applications using this approach.

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