Articles

Standard product experiments answer a binary question about average efficacy, but uplift modeling turns that binary into a nuanced spectrum, estimating a conditional average treatment effect for each user based on their specific features.

Learn how to build an MCP server with FastMCP and connect your local AI agent to use tools from the local MCP server, as well as add support for remote MCP servers.

The authors propose Self-Consistency, a simple decoding strategy that produces remarkable improvements across arithmetic, common sense, and symbolic reasoning tasks by comparing multiple lines of thought.

After years of trial and error, these CSS techniques have become an integral part of my workflow, helping me to create visually appealing and well-structured layouts.

Mastering frontend development skills is crucial for a successful career in web development. This guide outlines the essential tools, projects, and portfolio tips for students to excel in the field.

Discover the best Ethereum payment gateways for 2026 and compare their features, fees, and support for ETH and stablecoins.

Stop adding extra divs to draw separators. Learn how CSS gap decorations can change your layout-building approach.

In this article, we take a closer look at the process of building a Perplexity API, highlighting key takeaways and lessons learned along the way.

When companies talk about introducing AI into their systems, the conversation often starts with the user interface. However, the API layer presents a significant opportunity for AI integration, enabling improved system efficiency and functionality.

Most developers treat LLM APIs like magic boxes. Here’s what’s really going on under the hood.

Building security policy on top of IP addresses means your security posture silently degrades every time a pod is scheduled, rescheduled, or scaled. The answer is cryptographic workload identity: every workload gets a certificate-backed identity that proves who it is, not where it is.

Learn how to build a local AI agent that calls tools on its own and remembers the conversation, preserving privacy and avoiding API costs.