Abstract: The function-calling agent is obtained by performing agent tuning to the large language model (LLM) on function-calling dataset. However, even state-of-the-art datasets (e.g., ...

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...

Microsoft rolls out Model Context Protocol support in Windows ML, providing tools to build agentic Windows applications that work with local and remote resources securely. One concern many users have ...

Abstract: Function calling is a fundamental capability of today’s large language models, but sequential function calling posed efficiency problems. Recent studies have proposed to request function ...

According to Satya Nadella, Microsoft introduced the Microsoft Agent Framework that enables builders to build, orchestrate, and scale multi-agent systems directly in Azure AI Foundry, highlighting ...

The excitement around generative AI has pushed large language models (LLMs) to the forefront of enterprise software development--but getting those models into production is where the real complexity ...

ABSTRACT: This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and ...

DOVER, Del., Sept. 12, 2025 /PRNewswire/ -- Voicing AI today announced a breakthrough in enterprise artificial intelligence, achieving 97% accuracy in real-world function calling—well above the ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...