AI/ML Techniques

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

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

1 month ago

How to Implement Tool Calling with Gemma 4 and Python

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

1 month ago

Handling Race Conditions in Multi-Agent Orchestration

If you've ever watched two agents confidently write to the same resource at the same time and produce something that…

1 month ago

Top 5 Reranking Models to Improve RAG Results

If you have worked with retrieval-augmented generation (RAG) systems, you have probably seen this problem.

1 month ago

7 Machine Learning Trends to Watch in 2026

A couple of years ago, most machine learning systems sat quietly behind dashboards.

2 months ago

Building a ‘Human-in-the-Loop’ Approval Gate for Autonomous Agents

In agentic AI systems , when an agent's execution pipeline is intentionally halted, we have what is known as a…

2 months ago

From Prompt to Prediction: Understanding Prefill, Decode, and the KV Cache in LLMs

This article is divided into three parts; they are: • How Attention Works During Prefill • The Decode Phase of…

2 months ago