This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...
This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.
Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.
Understanding and predicting how global sea levels respond to climate-driven ice sheet changes have emerged as pressing concerns because of the expected consequences of these changes for humans around ...
Abstract: In this paper, the model-free dynamic event-driven safe (MFDEDS) control of unknown nonaffine systems with state and input constraints is investigated via adaptive dynamic programming. To ...
Abstract: Model-Based Systems Engineering (MBSE) relies on formal models for system lifecycle management, supporting model coherence and efficient reuse of components. Modelling languages, ...
REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.
As Agentic AI continues to roll out across many functions in Communications Service Providers (CSPs), the Model Context Protocol (MCP) is poised to become a major topic in 2026. Introduced by ...
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