Researchers from ETH Zurich and the University of California, Berkeley introduce MaxInfoRL: a new reinforcement learning framework for balancing intrinsic and extrinsic explorationmark tech post
Bio-based framework improves neural network efficiencymirage news
METRIC framework helps developers assess data quality for AIIntense Healthcare
https://arxiv.org/abs/2407.06460 Language models (LMs) face significant privacy and copyright challenges as they are trained on vast amounts of text data. The inadvertent inclusion of private or copyrighted content in training…
May 6, 2024 — Fake robocalls during the election. Celebrity voices used for Taka products. The photo was altered to mislead the public. The trustworthiness of AI-generated content, from social…
https://arxiv.org/abs/2403.00564 Reinforcement learning (RL) is fundamental to enabling machines to tackle tasks ranging from strategic gameplay to autonomous driving. In this broad field, the challenge of developing algorithms that effectively…
Codex is a large-scale language model (LLM) trained on a diverse codebase that exceeds previous state-of-the-art in its ability to synthesize and generate code. Although Codex offers many benefits, any…