AI/ML Research

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Building AI Agents with Local Small Language Models

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

1 day ago

Train, Serve, and Deploy a Scikit-learn Model with FastAPI

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

2 days ago

AI Agent Memory Explained in 3 Levels of Difficulty

A stateless AI agent has no memory of previous calls.

3 days ago

Getting Started with Zero-Shot Text Classification

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

4 days ago

Gradient-based Planning for World Models at Longer Horizons

GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1) lifting…

4 days ago

The Complete Guide to Inference Caching in LLMs

Calling a large language model API at scale is expensive and slow.

1 week ago

Python Decorators for Production Machine Learning Engineering

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

1 week ago

Structured Outputs vs. Function Calling: Which Should Your Agent Use?

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

2 weeks ago

How to Implement Tool Calling with Gemma 4 and Python

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

2 weeks ago