Some families go to the beach or into the mountains together. Others prefer museums, movies, or theme parks. Carl Jackson’s clan, though, would rather be chasing invasive Burmese pythons through the ...

Semantic segmentation is a core task in computer vision, essential for applications requiring detailed scene understanding, such as medical imaging, precision agriculture, and remote sensing. Recent ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...

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 ...

Abstract: The purpose of this paper is to study of how machine learning algorithms, artificial intelligence, semantic segmentation and fine recognition can be used to enhance computer vision in order ...

Mirascope is a powerful and user-friendly library that provides a unified interface for working with a wide range of Large Language Model (LLM) providers, including OpenAI, Anthropic, Mistral, Google ...

Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...

There is a responses agent in semantic_kernel.agents but I not an equivalent to AzureChatCompletion in semantic_kernel.connectors.ai.open_ai. This means I can't create a service for the Kernel, so are ...

If you’ve been thinking about learning to code but don’t know where to start, the 2024 Premium Learn to Code Certification Bundle is a solid way to jump in. Right now, you can get all 15 courses—over ...

Following the example here, https://github.com/microsoft/semantic-kernel/blob/main/python/samples/getting_started_with_agents/multi_agent_orchestration/step4_handoff ...