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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 26, 2026
Robust Serialization with JSON and Custom Types
In this article, you will learn how to build a robust JSON serialization pipeline in Python that handles custom data typ…
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Towards Data Science
Oct 31, 2026
We Taught AI to Answer Questions. Who Taught It to Change Its Mind?
When new evidence kills one conclusion, do the decisions built on it change too? I tested six update strategies, then a …
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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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ML Mastery
Oct 21, 2026
How to Build a Multi-Modal RAG Pipeline for Images and Documents in Python
In this article, you will learn how to build a multi-modal RAG pipeline in Python that retrieves and reasons over both t…
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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 4, 2026
Let Decision Models Guide Your Voice Assistant
GPT-Live does the talking. A decision model tracks what’s confirmed and picks what to ask next.
The post Let Decision Mo…
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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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