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Your AI might look smart on benchmarks but could be brittle in the real world, leading to unexpected failures and eroding ...
The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...
Water was higher than the predicted 0.2% chance flood hazard, according to data. The risk of the catastrophic flooding that struck Texas Hill Country as people slept on July 4 and left at least 120 ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Abstract: We derive novel deterministic bounds on the approximation error of data-based bilinear surrogate models for unknown nonlinear systems. The surrogate models ...
The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...
A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...
A legal case involving Meta revealed the company's secret experiments with training data. Meta used "ablation" to identify how specific data improved its Llama AI models. Some researchers say this ...
AI labs like OpenAI claim that their so-called “reasoning” AI models, which can “think” through problems step by step, are more capable than their non-reasoning counterparts in specific domains, such ...
The Centre is reportedly considering local storage of AI models to minimise risks associated with them and prevent flow of sensitive data outside India With the Centre reportedly planning to finalise ...