An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement fine-tuning (RFT), each with distinct strengths and limitations. SFT is ...

Abstract: In this paper, a distributed online sequential zero-gradient-sum algorithm is proposed, which is based on the discretetime zero-gradient-sum algorithm for directed networks. It also ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

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Additionally, review the various algorithms/implemetations for their work complexity. That is, how is their runtime expected to scale with increasing data size/array lengths, e.g use Big O notation ...