AI/ML Techniques

Ollama vs. LM Studio vs. llama.cpp: Which Local AI Runtime Should You Use in 2026?

In this article, you will learn how Ollama, LM Studio, and llama.cpp differ across the dimensions that matter most to…

11 hours ago

From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon

Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction.…

11 hours ago

5 Architectural Patterns for Persistent Memory and State in AI Agents

Memory & State For AI Agents Building an AI agent can be tricky. Keeping it on track over a six-month…

2 days ago

Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction

Overview of ABBEL compared to traditional recursive summarization. Beliefs replace the full interaction history as the agent’s working context, and…

2 days ago

Stateful vs. Stateless Agent Design: Tradeoffs for Scalable Agentic Systems

In this article, you will learn how an agent's approach to managing state — stateless or stateful — shapes both…

5 days ago

An Introduction to Loop Engineering

It's tempting to treat loop engineering as something invented in a single week in June, but the mechanics behind it…

6 days ago

The Current State of Agentic AI

In this article, you will learn how agentic AI architecture has evolved by mid-2026, including the shift away from orchestrated…

1 week ago

Building Agentic Workflows in Python with LangGraph

In this article, you will learn how to build a complete agentic workflow in Python with LangGraph, from a single…

1 week ago

Agentic AI Security: Defending Against Prompt Injection and Tool Misuse

In this article, you will learn what prompt injection and tool misuse are in the context of agentic AI systems,…

2 weeks ago

Run a Local AI Model with Ollama in 15 Minutes

In this article, you will learn how to get a small language model running locally on your own machine in…

2 weeks ago