In September 2024, Skywork first open-sourced the Skywork-Reward series models and related datasets. Over the past nine months, these models and data have been widely adopted by the open-source community for research and practice, with over 750,000 cumulative downloads on the HuggingFace platform, helping multiple frontier models achieve excellent results in authoritative evaluations such as RewardBench….
CyberCube, the global leader in cyber risk analytics, has identified Manufacturing, Education, IT, and Retail as the sectors most at risk of attacks from Scattered Spider, the versatile extortion crew behind the recent spate of high-profile hacks. Scattered Spider has evolved from a newly identified social‑engineering crew in 2022 into one of the most aggressive…
Expands its unmatched global capacity for AI inference, in collaboration with Equinix, to deliver the speed and low-cost customers count on to scale Groq, a global pioneer in AI inference, today announced the continued expansion of its global data center network, establishing its first European data center footprint in Helsinki, Finland to meet the growing demands of…
Traditional manufacturing faces significant challenges due to its reliance on legacy processes, manual quality control, and limited adaptability to evolving market demands. Research from the Universities of Liverpool and Bristol in 2022, respectively, highlights that legacy manufacturing equipment and processes often lack the advanced sensing, real-time monitoring, and data analytics capabilities found in modern, digitally…
From fraud detection to predictive insights—learn how C-suite leaders are using deep learning for strategic advantage. Deep learning applications can provide the C-suite executives with the opportunity to derive useful information that can be used in making their decisions to help them rise above their competitors by providing superior service or product. A survey conducted…
Key advancements include in-context learning, which enables coherent text generation from prompts, and reinforcement learning from human feedback (RLHF), which fine-tunes models based on human responses. Techniques like prompt engineering have also enhanced LLM performance in tasks such as question answering and conversational interactions, marking a significant leap in natural language processing. Pre-trained language models…
ByteDance, the Chinese tech giant behind TikTok and other global platforms, has officially released Trae Agent, a general-purpose software engineering agent powered by large language models (LLMs). Designed to execute complex programming tasks via natural language prompts, Trae Agent offers a highly capable and extensible Command-Line Interface (CLI), redefining how developers can interact with their…
The Agent Communication Protocol (ACP) is an open standard designed to enable seamless communication between AI agents, applications, and humans. As AI systems are often developed using diverse frameworks and infrastructures, they can end up isolated and incompatible, limiting their ability to collaborate. ACP addresses this fragmentation by offering a unified RESTful API that facilitates:…
Understanding Limitations of Current Reward Models Although reward models play a crucial role in Reinforcement Learning from Human Feedback (RLHF), many of today’s top-performing open models still struggle to reflect the full range of complex human preferences. Even with sophisticated training techniques, meaningful progress has been limited. A major reason appears to be the shortcomings…
Optimizing LLMs for Human Alignment Using Reinforcement Learning Large language models often require a further alignment phase to optimize them for human use. In this phase, reinforcement learning plays a central role by enabling models to make decisions based on human feedback or task-based correctness. This fine-tuning allows for the models to align more closely…