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ML Mastery
Nov 2, 2026
The AI Agent Memory Stack: Building Blocks, Patterns, and Frameworks
In this article, you will learn how agent memory works, what types of memory exist, and how different frameworks approac…
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Towards Data Science
Oct 30, 2026
Claude Code Mods: Custom Hooks to Fix My Biggest AI Coding Frustrations
How I built four Claude Code mods to protect API keys, track plan progress, catch untested code, and monitor context usa…
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ML Mastery
Nov 3, 2026
Choosing an LLM Inference Optimization Technique: A Decision-Tree Approach
In this article, you will learn how to match an LLM inference optimization technique to the actual bottleneck in your wo…
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Towards Data Science
Oct 30, 2026
Your Agent’s Tools Can Make Decisions, Too
Decision models as tools: a hands-on guide
The post Your Agent’s Tools Can Make Decisions, Too appeared first on Towards…
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KDnuggets
Oct 29, 2026
5 Docker Containers You Need for a Home AI Lab
Learn which five Docker containers make a reliable home AI lab, from Ollama and Open WebUI to Qdrant, n8n and Portainer …
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ML Mastery
Oct 30, 2026
7 Ways Your AI Agent Is Wasting Tokens (And What to Do Instead)
In this article, you will learn seven common token-waste patterns in production AI agent systems, and the architectural …
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ML Mastery
Oct 23, 2026
Speculative Decoding Explained: How to Get 3× Faster Inference from Any LLM
In this article, you will learn how speculative decoding works, why it produces real speed gains at the hardware level, …
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Towards Data Science
Nov 2, 2026
Let Decision Models Watch Your Agents
A hands-on guide to detecting behavioral anomalies from an agent’s evolving execution history
The post Let Decision Mode…
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