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 ...

Abstract: Attacks on the operating system (OS) kernel exploit vulnerable kernel functions via system call invocations. When investigating attacks on the kernel, it is necessary to identify vulnerable ...

In the final stretch before Election Day, New York City Democratic mayoral nominee Zohran Mamdani is calling out the “bigotry” of his critics, who have made several Islamophobic comments about him and ...

Today, we’re introducing YouTube Labs — a new way for users to take our cutting edge AI experiments for a test drive. YouTube Labs is a new initiative dedicated to exploring the potential of AI on ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

In this tutorial, we walk you through the seamless integration of AutoGen and Semantic Kernel with Google’s Gemini Flash model. We begin by setting up our GeminiWrapper and SemanticKernelGeminiPlugin ...

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 ...

4-Line Phone Systems: Who Needs Them & Why They Still Matter Your email has been sent Discover how four-line phone systems offer reliable, simultaneous call handling and how they integrate cloud ...

https://www.riteshmodi.com - Data Scientist, AI and blockchain expert with proven open-source solutions on MLOps, LLMOps and GenAIOps. https://www.riteshmodi.com - Data Scientist, AI and blockchain ...

The integration of Large Language Models (LLMs) with external tools, applications, and data sources is increasingly vital. Two significant methods for achieving seamless interaction between models and ...