New discipline addresses gap between brand intent and AI-generated descriptions as 95% of B2B buyers plan to use ...

A review of Marek Health covering labs, peptides, costs, coaching, and results. What works, what doesn’t, and whether it’s worth the investment.

Why the least efficient forms of thinking may be the most valuable in the age of artificial intelligence. For most of modern ...

Abstract: Sparrow Search Algorithm (SSA) is a kind of novel swarm intelligence algorithm, which has been applied in-to various domains because of its unique characteristics, such as strong global ...

Search is no longer governed by simple ranking formulas or keyword frequency. Modern search engines operate as intelligent systems capable of interpreting meaning, assessing credibility, and ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Abstract: Many-task optimization typically assumes that all data is available on a single device without taking into account privacy concerns. Federated many-task optimization, which involves using ...

Aligning large language models (LLMs) with human preferences is an essential task in artificial intelligence research. However, current reinforcement learning (RL) methods face notable challenges.

Machine learning has made significant advancements, particularly through deep learning techniques. These advancements rely heavily on optimization algorithms to train large-scale models for various ...

Aligning large language models (LLMs) with human values and preferences is challenging. Traditional methods, such as Reinforcement Learning from Human Feedback (RLHF), have paved the way by ...