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KDnuggets
Nov 5, 2026
What I Did with Hermes Agent, Ollama & Local Models
Build a local multi-agent travel planner with Hermes Agent and Ollama: a coordinator and three specialist agents that re…
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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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KDnuggets
Nov 4, 2026
7 Small Specialist Models That Beat Giant LLMs at One Job
Meet seven open specialist models under 10 billion parameters that rival much bigger systems at one job each, from trans…
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KDnuggets
Nov 6, 2026
Free AI and Data Courses with 365 Data Science: 100% Unlimited Access until Nov 20
Get unlimited free access to 365 Data Science’s complete AI and data learning platform, including 134 courses, hands-on …
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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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ML Mastery
Nov 6, 2026
DiffusionGemma: Hands-On with Google’s Text Model That Writes All at Once
In this article, you will learn what DiffusionGemma is, how its diffusion-based text generation differs from standard au…
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Towards Data Science
Nov 2, 2026
Our AI Has an Invisible Footprint — Let's see How to Measure It
The hardest part is no longer getting the numbers. It's deciding what to do with them.
The post Our AI Has an Invisible …
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ML Mastery
Oct 28, 2026
Fine-Tuning vs. Frozen Embeddings: When to Adapt the LLM vs. the Sklearn Head
In this article, you will learn how to compare two strategies for adapting a large language model to a specific domain: …
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