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📊 KDnuggets May 28, 2026
Tweaking Local Language Model Settings with Ollama
In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local langu…
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📊 KDnuggets May 29, 2026
Practical NLP in the Browser with Transformers.js
This tutorial covers three NLP tasks: text classification, zero-shot labelling, and question answering using Transformer…
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📊 KDnuggets May 25, 2026
Auditing Model Bias with Balanced Datasets with Mimesis
Learn how to use Mimesis library to generate a balanced, counterfactual dataset that helps analyze potential bias in you…
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🧠 Towards Data Science May 29, 2026
Baseline Enterprise RAG, From PDF to Highlighted Answer
Enterprise Document Intelligence [Vol. 1 #1] The smallest version of RAG that actually works, on a real PDF, with ground…
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🤖 ML Mastery May 19, 2026
Prompt Engineering for Agentic AI
You have probably spent time learning how to prompt AI well.…
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🧠 Towards Data Science May 30, 2026
Embeddings Aren’t Magic: The Predictable Failure Modes of RAG Retrieval
Enterprise Document Intelligence [Vol. 1 #2] Why the same vector search that handles synonyms and paraphrase silently fa…
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🧠 Towards Data Science May 29, 2026
Explaining Lineage in DAX
One of the most important concepts in DAX is lineage. It’s about the information on where something comes from. Let’s se…
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🧠 Towards Data Science May 29, 2026
RAG Is Burning Money — I Built a Cost Control Layer to Fix It
Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I …
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