Machine learning methods, particularly deep neural networks (DNNs), are widely considered vulnerable to adversarial attacks. In image classification tasks, even tiny additive perturbations in the input images can drastically affect the classification accuracy of a pre-trained model. The impact of these perturbations in real-world scenarios has raised significant security concerns for critical applications of DNNs… →
Evaluating Large Language Models (LLMs) is a challenging problem in language modeling, as real-world problems are complex and variable. Conventional benchmarks frequently fail to fully represent LLMs’ all-encompassing performance. A recent LinkedIn post has emphasized a number of important measures that are essential to comprehend how well new models function, which are as follows. MixEval… →
Generative models are designed to replicate the patterns in the data they are trained on, typically mirroring human actions and outputs. Since these models learn to minimize the difference between their predictions and human-generated data, they aim to match the quality of human expertise in various tasks, such as answering questions or creating art. This… →
CONCLUSIONS: The transdiagnostic iCBT program offers a practical, feasible, and efficacious alternative to usual care to tackle mental health problems in a large university setting. There is no indication that human guidance should be preferred over technological guidance. The potential preference of human support also depends on the scale of implementation and cost-effectiveness, which need… →
In a significant leap forward for AI, Together AI has introduced an innovative Mixture of Agents (MoA) approach, Together MoA. This new model harnesses the collective strengths of multiple large language models (LLMs) to enhance state-of-the-art quality and performance, setting new benchmarks in AI. MoA employs a layered architecture, with each layer comprising several LLM… →
In the modern world, efficiency is key. Companies are constantly seeking ways to streamline their operations, reduce bottlenecks, and increase productivity. Bitrix24 is comprehensive platform that offers a suite of tools designed to enhance collaboration, manage tasks, and automate workflows. In this article will delve into some of the new key features of Bitrix24 from… →
The aim of this study was to assess whether dietary supplementation with a nutraceutical blend comprising extracts of bergamot and artichoke-both standardized in their characteristic polyphenolic fractions-could positively affect serum lipid concentration and insulin sensitivity, high-sensitivity C-reactive protein (hs-CRP), and indexes of non-alcoholic fatty liver disease (NAFLD) in 90 healthy individuals with suboptimal cholesterol levels.… →
Data curation is essential for developing high-quality training datasets for language models. This process includes techniques such as deduplication, filtering, and data mixing, which enhance the efficiency and accuracy of models. The goal is to create datasets that improve the performance of models across various tasks, from natural language understanding to complex reasoning. A significant… →
Using reinforcement learning (RL) to train large language models (LLMs) to serve as AI assistants is common practice. To incentivize high-reward episodes, RL assigns numerical rewards to LLM outcomes. Reinforcing bad behaviors is possible when reward signals are not properly stated and do not correspond to the developer’s aims. This phenomenon is called specification gaming,… →