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PPPranoti Patilai-for-multidisciplinary-application.hashnode.devMay 25 · 3 min read

26.Text Processing in NLP

Text Processing (also called Text Preprocessing) is the first and most important step in Natural Language Processing (NLP). Text Processing is the process of cleaning and preparing raw text so that co

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VAVansh Aggarwalnlpstudent.hashnode.devApr 25 · 17 min read

Chatbots Using NLP For Student Support Systems

Abstract With the rapid changes of technology in the 21st century, the human created machines, especially in the particular field of Artificial Intelligence (AI) and Natural Language Processing (NLP)

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CTCqlsys Technologies Pvt. Ltdai-cloud-digital-transformation-company-cqlsys-technologies.hashnode.devFeb 2 · 4 min read

Implementing NLP in Real Businesses: A Practical Guide to AI-Driven ROI

In the current digital landscape, data isn't just power—it’s a conversation. Every day, companies are buried under mountains of unstructured text, from customer emails to legal contracts. Bridging the gap between this raw data and actionable insights...

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SKshivam kumarlearnwithshivam.hashnode.devJan 28 · 1 min read

NLP (Natural Language Processing)

Natural language processing is a subfield of linguistic, computer science and artificial intelligence concerned with the interaction between computer and humans language, in particular how to program computer to process and analyze large amount of na...

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RGRyan Giggsryan-giggs.hashnode.devDec 2, 2025 · 6 min read

Fundamentals of Large Language Models: Understanding LLM Architectures

What is an LLM? An LLM (Large Language Model) is fundamentally a probabilistic model that predicts distributions over vocabulary tokens. At its core, an LLM understands a fixed set of words called a vocabulary and assigns probabilities to each word a...

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FMFotie M. Constantblog.fotiecodes.comNov 24, 2025 · 4 min read

I was wrong: Small is the new big for local AI agents

TL;DR: We’ve been obsessed with parameter counts for too long but running massive models locally is a pain. The real unlock isn't a smarter God-model; it's a swarm of small, specialized agents running locally. My M1 Mac is suddenly a powerhouse. Comb...

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SMSumanth Mandavallitokenizermodels.hashnode.devSep 18, 2025 · 3 min read

Tokenizers in NLP: Word, Character, and Sub-Word Models

In the world of Natural Language Processing (NLP), the first step in almost every pipeline is tokenization — breaking raw text into smaller units, known as tokens. These tokens serve as the building blocks that machine learning models, especially Lar...

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SCSatyam Chatroladeep-dives.hashnode.devAug 21, 2025 · 11 min read

From Tokens to Text: Deconstructing the Transformer Architecture

At the heart of every modern Large Language Model (LLM), from GPT-5 to Llama 3, lies an elegant and powerful architecture: the Transformer. Introduced in the seminal 2017 paper "Attention Is All You Need," the Transformer revolutionized natural langu...

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AApoorvapoorv654123.hashnode.devAug 13, 2025 · 4 min read

Tokenization in NLP: A Guide for Freshers

Natural Language Processing (NLP) turns human language into something machines can understand and work with—and tokenization is the very first doorway into that world. In simple terms, tokenization breaks text into smaller pieces called tokens (like ...

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GSGerard Sansai-cosmos.hashnode.devMay 22, 2025 · 7 min read

AI's Great Semantic Charade: Why "Understanding" is a Dangerous Illusion

We stand at a precipice of technological marvel. Large Language Models (LLMs) and other transformer-based AIs are churning out text, code, and images that often feel indistinguishable from human creation. The excitement is palpable, the investments c...

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#nlp-transformers

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#nlp-transformers

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Trending tags this week

26.Text Processing in NLP

Chatbots Using NLP For Student Support Systems

Implementing NLP in Real Businesses: A Practical Guide to AI-Driven ROI

NLP (Natural Language Processing)

Fundamentals of Large Language Models: Understanding LLM Architectures

I was wrong: Small is the new big for local AI agents

Tokenizers in NLP: Word, Character, and Sub-Word Models

From Tokens to Text: Deconstructing the Transformer Architecture

Tokenization in NLP: A Guide for Freshers

AI's Great Semantic Charade: Why "Understanding" is a Dangerous Illusion