Artificial Intelligence

A workforce of researchers from Allen Institute for Artificial Intelligence (Ai2), University of Washington and CMU introduce Fluid Benchmarking, an adaptive LLM analysis technique that replaces static accuracy with 2-parameter IRT means estimation and Fisher-information–pushed merchandise choice. By asking solely the most informative questions for a mannequin’s present means, it yields smoother coaching curves, delays benchmark…

In this tutorial, we take a hands-on strategy to constructing an superior convolutional neural community for DNA sequence classification. We concentrate on simulating actual organic duties, corresponding to promoter prediction, splice website detection, and regulatory factor identification. By combining one-hot encoding, multi-scale convolutional layers, and an consideration mechanism, we design a mannequin that not solely…

In at the moment’s AI-driven world, no-code instruments are remodeling how individuals create and deploy clever purposes. They empower anybody—no matter coding experience—to construct options shortly and effectively. From creating enterprise-grade RAG programs to designing multi-agent workflows or fine-tuning a whole bunch of LLMs, these platforms dramatically cut back improvement effort and time. In this…

Table of contents What is catastrophic forgetting in foundation models? Why does online reinforcement learning forget less than supervised fine-tuning? How can forgetting be measured? What do experiments on large language models reveal? How does RL compare to SFT in robotics tasks? What insights come from the ParityMNIST study? Why do on-policy updates matter? Are…