Choosing the right technology for your application can sometimes feel overwhelming, especially when deciding between Model Context Protocol (MCP), Function Calling, and OpenAPI Tools. These tools serve distinct purposes in the AI landscape, each with unique strengths suited for different…
Choosing the right technology for your application can sometimes feel overwhelming, especially when deciding between Model Context Protocol (MCP), Function Calling, and OpenAPI Tools. These tools serve distinct purposes in the AI landscape, each wi…
AI-powered tools are transforming customer service experiences, enabling seamless communication and assistance. However, when automation meets its limits, a reliable human handoff system is vital to maintain service quality. In this guide, we explo…
Meet StreamTensor – a state-of-the-art PyTorch-to-Accelerator compiler that’s set to redefine how large language models (LLMs) run on FPGAs. Traditionally, LLMs have relied on GPUs with intermediate data being constantly swapped to and from the mem…
In the fast-evolving landscape of Artificial Intelligence (AI), transformer-based models are setting remarkable milestones. Among these advancements, Regression Language Models (RLMs) are carving out a niche by enabling natural language processing …
Discover how cutting-edge AI technology is transforming time series forecasting in ways that are both powerful and approachable. By blending Darts for statistical modeling and HuggingFace for natural language reasoning, Asif Razzaq’s comprehensive …
Microsoft recently unveiled the Microsoft Agent Framework, an open-source SDK and runtime crafted to simplify the orchestration of multi-agent systems. Combining the best features of AutoGen and Semantic Kernel, this framework enables developers to…
