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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.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

The lack of flexibility in the existing customer service system prevented them from providing their customers the best user experience and from innovating further by introducing features like the ability to handle redundant queries via chat. He is focusing on system architecture, application platforms, and modernization for the cabinet.

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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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Introducing Our New Punctuation Restoration and Truecasing Models

AssemblyAI

New Models The development of our latest models for Punctuation Restoration and Truecasing marks a significant evolution from the previous system. Overview of the previous system : Architecture : A two-stage hybrid model combining a DistilBERT -like transformer with rule-based post-processing. Susanto et al., Mayhew et al.,

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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. Specifically, we employ GraphStorm within an AWS environment to build, train, and deploy graph models.

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