AI News

Agentic loops in production can be synonymous with high costs, especially when it comes to both LLM and external application usage via APIs, where billing is often closely related to token usage.

AI agents have evolved beyond passive chatbots.

Most

Non-deterministic agents are those where the same input can lead to distinct outputs across multiple runs.

Traditional

When

In a

The idea of building your own AI agent used to feel like something only big tech companies could pull off.

FastAPI has become one of the most popular ways to serve machine learning models because it is lightweight, fast, and easy to use.

A stateless AI agent has no memory of previous calls.

Zero-shot text classification is a way to label text without first training a classifier on your own task-specific dataset.

You’ve probably written a decorator or two in your Python career.

The open-weights model ecosystem shifted recently with the release of the

Language models (LMs), at their core, are text-in and text-out systems.

Creating an AI agent for tasks like analyzing and processing documents autonomously used to require hours of near-endless configuration, code orchestration, and deployment battles.

Traditional databases answer a well-defined question: does the record matching these criteria exist?

My friend who is a developer once asked an LLM to generate documentation for a payment API.