This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Microsoft released version 1.0 of its Agent Framework on April 3, unifying two previously ...

Abstract: The incorporation of large language models (LLMs) in company software amplified the necessity for efficient AI orchestration systems. Microsoft Semantic Kernel is an optimized open-source ...

Abstract: Time-series forecasting (TSF) is becoming ubiquitous in numerous real-world applications. The loss function is a vital component of time-series forecasting models based on deep learning. The ...

The controversial d_genocide() function has been stripped from the Linux kernel's upcoming update. Introduced two years ago, the code's name likely violated inclusive language rules. A recent update ...

I am working on orchestrating agents in different strategies as described in the semantic kernel (Concurrent, Sequential). I want each agent in the orchestration to have their own functions dedicated ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...

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 ...

A vulnerability in KernelSU version 0.5.7 that could allow attackers to impersonate its manager application and gain root access has been uncovered by cybersecurity researchers. According to Zimperium ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Function calling is not working with AzureRealtimeWebsocket in Semantic Kernel. When adding a plugin to the kernel and passing it to the realtime session, the model doesn't respond when it should ...