LazyLLM is a low-code development tool for building multi-agent large language model applications. It assists developers in creating complex AI applications at very low costs and enables continuous ...

Experienced ICAO English Language Proficiency Instructor for pilots and ATCOs and conference interpreter who is passionate about facilitating effective communication within aviation-related businesses ...

From early engineering work at Getir to co-founding an AI growth intelligence company backed by a16z, Akaoglu's story is ...

Whatever your experience with office culture is, the daily grind is part of the modern world and is often more draining than ...

Abstract: In this article, we consider a network of agents that has to self-assign a set of tasks while respecting resource constraints. One possible formulation is the generalized assignment problem, ...

AI trading bots can make money, but not because they are magic. Their real value comes from strategy, execution speed, risk control, and the ability to respond to market conditions without hesitation.

Abstract: Two asynchronous distributed algorithms are presented for solving a linear equation of the form Ax=b with at least one solution. The equation is simultaneously and asynchronously solved by m ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Ben Gomes, Google's Chief Technologist for Learning and Sustainability, argues that while AI ...

Agent Lightning is an agent optimization framework that enables agents to learn from their experiences through reinforcement learning and other methods. By treating agents as first-class citizens, ...

The rise of agentic AI in e-commerce is already reshaping how fashion brands are discovered and perceived, as chatbots increasingly take out the guesswork for shoppers. With the slow death of the ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.