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Unbundling the Graph in GraphRAG

O'Reilly Media

at Facebook—both from 2020. What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain.

Database 127
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Google Research, 2022 & beyond: Robotics

Google Research AI blog

In 2020, we introduced Performers as an approach to make Transformers more computationally efficient, which has implications for many applications beyond robotics. Further improvements are gained by utilizing a novel structured dynamical systems architecture and combining RL with trajectory optimization , supported by novel solvers.

Algorithm 139
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Mitigating risk: AWS backbone network traffic prediction using GraphStorm

Flipboard

System architecture for GNN-based network traffic prediction In this section, we propose a system architecture for enhancing operational safety within a complex network, such as the ones we discussed earlier. To learn how to use GraphStorm to solve a broader class of ML problems on graphs, see the GitHub repo.

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