Extension that converts individual Java files to Kotlin code aims to ease the transition to Kotlin for Java developers.
A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and learn from them without real-world consequences.
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...
Big Blue has been saying this itself since 2013 IBM’s share price slumped by 13 percent on Monday, seemingly caused by investors reacting to an Anthropic blog post that points out its Claude Code ...
The University of Glasgow will hold its first India Open Day in Bengaluru on February 28, offering prospective students sessions with faculty, admissions guidance, degree exploration across all ...
A duplex speech-to-speech model changes the premise: The intelligence layer consumes audio and produces audio directly. The model can attend to what was said and how it was said—content and delivery ...
As the Department of Defense pushes for greater AI integration, researchers said the top models chose the nuclear option in nearly all war simulations.
Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively ...
Pharmacometrics has long provided a scientific foundation for quantitative decision-making in drug development and therapeutics. Yet, much of its ...
Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...