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One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). 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 systemarchitectures for AI from the 1970s–1980s.
The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. Call volumes increased further in 2020 when the COVID-19 pandemic struck and driver licensing regional offices closed.
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 systemsarchitecture and combining RL with trajectory optimization , supported by novel solvers.
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.,
Systemarchitecture for GNN-based network traffic prediction In this section, we propose a systemarchitecture for enhancing operational safety within a complex network, such as the ones we discussed earlier. He received his PhD in computer systems and architecture at the Fudan University, Shanghai, in 2014.
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