How Hugging Face's Transformers Added UltraBERT with Layer-Specific Rotary Embeddings
Why UltraBERT Integration Matters The Hugging Face Transformers library is a cornerstone for NLP research and applications, providing a unified inte…
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Day 31: The Transformer Decoder Architecture
What Is a Transformer Decoder? A transformer decoder is a type of neural network for generating sequences, such as sentences, one piece at a time. Y…
Your intent classifier is 12 points worse in Portuguese: benchmarking Laya, Strands Decider and Qwen3 embeddings
A conversational agent first has to decide what the customer wants. I measured that step for customer-service messages in Brazilian Portuguese (PT-B…
How to extract clean article text, author and date from news URLs
Copying an article out of a web page sounds easy until you try it at scale. You get menus, cookie banners, related links and ads mixed into the text…
# Beyond Transformers: A Mathematical Critique of Cross-Lingual Diffusion Architectures
Beyond Transformers: A Mathematical Critique of Cross-Lingual Diffusion Architectures The current state of multilingual NLP is dominated by transfor…
Why we built recall-first search on PostgreSQL
Our careers page search often felt broken. Searching for “Java” could return JavaScript roles. A misspelling could produce no results at all. Search…
What Are Embeddings? How AI Converts Meaning Into Numbers
Consider these two sentences: "I want to buy a phone with a long-lasting battery." and "Which smartphone should I choose if I don't want to charge i…
Sentiment Analysis of Apple Tweets: An NLP Approach
The Business Challenge When Apple launches a new product, social media explodes with customer reactions. Support teams get overwhelmed, marketing se…
How I Engineered the World's First Khattak Pashto LLM (Qwen2 + LoRA)
Standard Large Language Models (LLMs) are incredible, but they have a massive blind spot: rural and regional dialects. While standard Pashto is supp…
Was TinyStories the Domain or the Vocabulary?
I have been running a long series of experiments on whether small models can be made to behave usefully, and one obvious thing to borrow is whatever…
Why Your Persian Chatbot Answers the Wrong Question
When a Persian-language assistant answers half its questions with "I don't have information about that," the first assumption is always that its kno…
Part of Speech Tagging: How NLP Understands Grammar
You learned this in school, even if you’ve forgotten most of it. Nouns are things. Verbs are actions. Adjectives describe. Adverbs modify. At some p…
A rule-based Korean dialect converter with no LLM: eight guards that keep standard Korean intact
I built a Korean dialect converter that runs entirely in the browser and uses no LLM. Type a standard Korean sentence and it rewrites it the way peo…
Pythonaibrain-NLP 0.2.0 Is Now on PyPI — A Structured NLU/NLG Architecture for Python
Today I'm releasing Pythonaibrain-NLP 0.2.0 , the latest public release of my Python NLP framework. The package is now available on PyPI, and the co…
Transformer Architecture Basics
Unlocking the Magic: A Deep Dive into Transformer Architecture Basics Ever felt like the world's information is a giant, jumbled puzzle, and you're…
LinkedIn CringeBot 3000: When AI Learned to Speak 'Influencer'
LinkedIn CringeBot 3000: When AI Learned to Speak 'Influencer' It was the summer of 2026 when a Hacker News post titled "Show HN: LinkedIn CringeBot…
Облачные ИИ не справляются, MiniLM-L6 ломается на философии: строим локальный RAG для сложных семантических текстов
Этот проект долго вынашивался и, в конце концов, начался как очередная попытка разобраться в философских текстах, написанных Джейн Робертс во второй…
How LLMs Work: Transformer, Attention & Next Token Prediction Explained
Before we begin: The goal of this article is to help you understand how LLMs work in simple language. I've intentionally avoided deep technical deta…
yasbd-lib vs PySBD: two philosophies of sentence boundary detection
Sentence boundary detection sounds boring. Split on . ? ! , done, right? Anyone who has tried knows otherwise. Abbreviations, decimals, URLs, nested…
Perceived Latency: The Invisible KPI Killing Voice Experiences
Perceived Latency: The Invisible KPI Killing Voice Experiences Your teams track conversion, NPS, session time. Nobody tracks the assistant's silence…
The Convergence of Linguistic Mimicry and Reward Optimization: An Analysis of the Mechanisms of Defensive Behavior in Large Language Models
Abstract This paper examines the phenomenon of the emergence of manipulative behavioral patterns in contemporary large language models (LLMs). The a…
Attention Sinks: Why Streaming LLMs Break When You Evict Token 0
Drop the first four tokens from a sliding-window KV cache and your model's perplexity doesn't degrade gracefully — it detonates. Generation turns to…
What Is GPT? A Practical Guide to Tokens, Transformers, Training, and Fine-Tuning
Artificial intelligence systems can now write articles, explain scientific concepts, generate software code, summarize documents, and participate in…
Which Is to Be Master? Language, Authority and LLMs
Introduction “When I use a word,” Humpty Dumpty said in rather a scornful tone, “it means just what I choose it to mean—neither more nor less.” “The…
Whisper-powered transcription, explained: what actually happens to your audio
If you have used any AI transcription tool in the last two years, there is a good chance a Whisper-family model did the heavy lifting under the hood…
Ternary Semantic Brain Core — Zero Hard-Coding, Language-Independent Meaning Engine
Ternary Semantic Brain Core — Zero Hard-Coding, Language-Independent Meaning Engine I built a meaning-learning engine that works without LLMs, embed…
BERT vs BERT+BiLSTM: An Honest Result on Hinglish Toxicity Detection
More than 600 million people speak Hindi, and a huge share of them are online, posting the way people actually type when they're not writing for a t…
CHE MCP — Building Argentina's First National MCP Ecosystem: 5-Stage Classifier, WMA Online Learning, 748 Datasets
Argentina just got its first national MCP ecosystem — and it was built from Bahía Blanca. CHE MCP is an intelligent gateway that connects any AI age…
How I improved my fact-checker from F1 0.655 0.813 — what actually changed
I built a multilingual fact-checker using XLM-RoBERTa fine-tuned on the FEVER dataset. The first version hit F1 0.655. Not bad, but it kept misfirin…
LLM Self-Preference Bias: How Anonymized Peer Review Fixes It
LLM Self-Preference Bias: How Anonymized Peer Review Fixes It The panel had been agreeing with itself for a week before I noticed, and the worst par…