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Natural Language Processing

NLP is Natural Language Processing the technology behind Home assistants and search engines.

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How I Explained LLMs, SLMs & VLMs at Microsoft

How I Explained LLMs, SLMs & VLMs at Microsoft

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5 min read
Sentiment Analysis: Read Customer Feedback at Scale

Sentiment Analysis: Read Customer Feedback at Scale

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7 min read
Implementing "Refusal-First" RAG: Why We Architected Our AI to Say 'I Don't Know'

Implementing "Refusal-First" RAG: Why We Architected Our AI to Say 'I Don't Know'

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3 min read
Why Your Sentiment Analysis Is Wrong

Why Your Sentiment Analysis Is Wrong

2
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7 min read
Transformers: Revolutionizing Natural Language Processing!

Transformers: Revolutionizing Natural Language Processing!

2
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2 min read
I Built an Automated SLM Fine-Tuning Engine with Python and Unsloth 🚀

I Built an Automated SLM Fine-Tuning Engine with Python and Unsloth 🚀

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3 min read
How We Measure 'Average AI' — Computational Stylometry for Writing Style Analysis

How We Measure 'Average AI' — Computational Stylometry for Writing Style Analysis

1
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7 min read
Conversation Flow Control: When Users Don’t Follow Your Script

Conversation Flow Control: When Users Don’t Follow Your Script

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5 min read
Building an Adaptive NER System with MLOps: A Complete Guide

Building an Adaptive NER System with MLOps: A Complete Guide

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35 min read
17MB vs 1.2GB: How a Tiny Model Beats Human Experts at Pronunciation Scoring

17MB vs 1.2GB: How a Tiny Model Beats Human Experts at Pronunciation Scoring

1
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3 min read
Why AI Text Gets Detected - The Linguistics Behind It

Why AI Text Gets Detected - The Linguistics Behind It

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2 min read
The “Too Smart” Knowledge Base Problem: When Your AI Knows Too Much for Its Own Good

The “Too Smart” Knowledge Base Problem: When Your AI Knows Too Much for Its Own Good

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5 min read
From Words to Vectors: How Semantics Traveled from Linguistics to Large Language Models

From Words to Vectors: How Semantics Traveled from Linguistics to Large Language Models

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6 min read
17MB vs 1.2GB: How a Tiny Model Beats Human Experts at Pronunciation Scoring

17MB vs 1.2GB: How a Tiny Model Beats Human Experts at Pronunciation Scoring

1
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4 min read
Mirando bajo el capĂł de un LLM

Mirando bajo el capĂł de un LLM

2
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10 min read
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