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Towards Data Science
Nov 2, 2026
Reflection's Beam Is the New Open-Weight Model Everyone Is Talking About
A 501B model that only activates 23B parameters per token sounds like a bargain, until you look at what it takes to host…
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KDnuggets
Nov 3, 2026
8 LLM Inference Frameworks You Should Try in 2026
Compare LLM inference frameworks for production serving, request batching, KV cache management, and efficient deployment…
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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
Nov 3, 2026
AI Will Do Your Job. That Should Be Good News.
The case for paying people to play when machines do the work
The post AI Will Do Your Job. That Should Be Good News. app…
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KDnuggets
Nov 3, 2026
Using LLM Summarization in Your Scikit-Learn Pipelines with Scikit-LLM
Learn how to build an architecture that blends Scikit-LLM estimators for text summarization with traditional scikit-lear…
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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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Towards Data Science
Nov 3, 2026
Three Techniques to Understand Your Codebase When Coding Agents Write the Code
Learn how to use Claude Code to write feature memos, review pull requests, and build visual HTML explainers, so you unde…
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