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ML Mastery
Jul 27, 2026
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 deployment is incr…
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Towards Data Science
Jul 29, 2026
Prompt Engineering Is Solved—Prompt Management Isn’t
Prompt engineering helps you write better prompts—but it doesn’t help you change them safely. This article explores a co…
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Towards Data Science
Jul 27, 2026
“Los Movimientos”: The Routing Problem That Nearly Broke My Spirit
Using mathematical optimization to solve a pickup-and-delivery problem with time windows.
The post “Los Movimientos”: Th…
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KDnuggets
Jul 27, 2026
7 Steps to Building and Deploying Your First Autonomous Agent
This article shows you up all the steps in building and deploying your first autonomous AI agents from start to finish.…
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Towards Data Science
Jul 30, 2026
How to Decode the Temperature Parameter in LLMs
How statistical physics explains the transition from deterministic predictions to generative AI.
The post How to Decode …
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ML Mastery
Jul 29, 2026
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 pr…
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Towards Data Science
Jul 27, 2026
Reducing Human Annotation with ML Active Learning
In a world where human time is expensive, learn how to use it only when really necessary
The post Reducing Human Annotat…
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Towards Data Science
Jul 31, 2026
How to Debug AI Coding Agents When They Change the Wrong Thing
A practical tutorial for recording model tool requests, real function results, patches, checks, screenshots, and a saved…
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