In recent years, despite large models demonstrating excellent performance in natural language processing tasks, a significant issue that cannot be overlooked is that their logical reasoning ...

Function Calling – Empowering Large Models with External Tool Invocation ...

Microsoft announced on Tuesday the general availability of the Logic Apps Hybrid Deployment Model. This release enables enterprise customers to run Logic Apps Standard workflows on customer‑managed ...

Constraint-satisfaction problems (CSPs) are ubiquitous, ranging from budgeting for grocery shopping to verifying software behavior. Logic modeling helps solve CSPs programmatically using SMT solvers.

The Opensource DeepSeek R1 model and the distilled local versions are shaking up the AI community. The Deepseek models are the best performing open source models and are highly useful as agents and ...

Ensuring the correctness of electronic designs is critical, as hardware flaws are permanent post-production and can compromise software reliability or the safety of cyber-physical systems.

Introduction: The Implementation Research Logic Model (IRLM) aids users in combining, organizing, and specifying the relationships between important constructs in implementation research. The goal of ...

Abstract: Logic Tensor Networks (LTNs) have been shown to be capable of many artificial intelligence tasks, regression being among them. Earth System Models (ESMs) present large opportunities and a ...

AssemblyAI updates its Speaker Diarization model for better accuracy and multilingual support, alongside new tutorials for developers. AssemblyAI has recently unveiled significant updates to its ...