Abstract: Existing works on multi-agent time-varying optimization allow agents to asynchronously communicate and/or compute, but do not allow asynchronous sampling of objectives. Sampling can be ...
Programming efficient asynchronous systems is challenging because it can often be hard to express the design declaratively, or to defend against interleaving-dependent bugs such as data races and ...
Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products. I share my insights here.) Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products.
Meta’s ARE + Gaia2 Set a New Bar for AI Agent Evaluation under Asynchronous, Event-Driven Conditions
Why move from sequential to asynchronous interaction? Most prior agent benchmarks pause the world while the model “thinks.” ARE decouples agent and environment time: the environment evolves while the ...
In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...
Washington Examiner Senior Writer Joe Concha called on CBS News to release the transcript of a 2023 60 Minutes interview with then-President Joe Biden. White House dismisses 'irrelevant' Springsteen ...
Paramount+ is once again a real buyer following Skydance’s acquisition of the streamer’s parent Paramount Global. At a Los Angeles press event on Wednesday, new Paramount CEO David Ellison touted the ...
In the "Implement the APM pattern by using tasks" section of the "TPL and traditional .NET asynchronous programming" topic, it would be useful to mention the System.Threading.Tasks.TaskToAsyncResult ...
What if you could build a conversational AI agent that not only answers complex questions but also integrates seamlessly with external tools, streams real-time responses, and delivers structured ...
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