O'Reilly Media

NOVEMBER 19, 2024

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 128

Database AI AI Natural Language Processing 128

AWS Machine Learning Blog

MARCH 31, 2023

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.

AWS 101

AWS Natural Language Processing System Architecture Machine Learning 101

Google Research AI blog

FEBRUARY 14, 2023

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

Algorithm System Architecture Deep Learning Deep Learning 139

AssemblyAI

NOVEMBER 8, 2023

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.,

System Architecture 59

System Architecture Deep Learning Deep Learning AI 59

Flipboard

JANUARY 15, 2025

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.

AWS 139

AWS Machine Learning Machine Learning System Architecture 139