Have you ever had an idea for something that looked cool, but wouldn’t work well in practice? When it comes to designing things like decor and personal accessories, generative artificial intelligence (genAI) models can relate. They can produce creative and elaborate 3D designs, but when you try to fabricate such blueprints into real-world objects,…

import asyncioimport sysfrom copilot import CopilotClientfrom copilot.tools import define_toolfrom copilot.generated.session_events import SessionEventTypefrom pydantic import BaseModel, Field # Step 1: Define custom tools using the @define_tool decorator.class GetDataVisualizationParams(BaseModel):    library_name: str = Field(description=”The name of the Python library to get info about”)  @define_tool(description=”Get information about a Python data visualization library”)async def get_library_info(params: GetDataVisualizationParams) -> dict:    “””Custom tool that provides information…

In this article, you will learn what Model Context Protocol (MCP) is and how to build a simple, practical task-tracker MCP server in Python using FastMCP. Topics we will cover include: How MCP works, including hosts, clients, servers, and the three core primitives. How to implement MCP tools, resources, and prompts with FastMCP. How…

Beyond Accuracy: 5 Metrics That Actually Matter for AI AgentsImage by Editor Introduction AI agents, or autonomous systems powered by agentic AI, have reshaped the current landscape of AI systems and deployments. As these systems become more capable, we also need specialized evaluation metrics that quantify not only correctness, but also procedural reasoning, reliability,…

In this article, you will learn what small language models are, why they matter in 2026, and how to use them effectively in real production systems. Topics we will cover include: What defines small language models and how they differ from large language models. The cost, latency, and privacy advantages driving SLM adoption. Practical…

Studying gene expression in a cancer patient’s cells can help clinical biologists understand the cancer’s origin and predict the success of different treatments. But cells are complex and contain many layers, so how the biologist conducts measurements affects which data they can obtain. For instance, measuring proteins in a cell could yield different information about…