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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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…
chunklet-py v3.0.0: a smaller install, a smarter chunker, and no more global state
There's a new chunker that learns its own boundaries, two heavy dependencies moved to optional extras, and a few configuration changes that stop you…
# 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…
Word Sense Disambiguation: How NLP Understands Word Meaning in Context
Here is a sentence that will break most computers. “I went to the bank.” Did you go to a financial institution to withdraw money? Or did you sit dow…
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…
Day 15: Visualizing Embeddings with t-SNE and PCA
Previously, on Day 14: Explained how word embeddings represent words as vectors, the limitations of classic approaches like one-hot encoding, and ho…
Dependency Parsing: How NLP Understands Sentence Structure
You now know what each word is. But do you know what each word does ? In the previous post, we covered Part of Speech Tagging: the process of labell…
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…
What I Learned Evaluating LLMs Across Four Languages
Most writing about large language models assumes English. The benchmarks are in English, the failure examples are in English, and the quiet implicat…
I Turned 200+ Chinese Character Confusions Into a Structured Dataset
I'm building a Chinese learning project called HanziHero , and one feature started with what looked like a ridiculously simple data problem: Why do…
Building an Open Turkish EV Charging Intent Dataset
Electric-vehicle assistants rarely have just one job. A short Turkish question may ask for a nearby station, a charging-price comparison, help plann…
How to fix punctuation in speech-to-text and LLM output without calling a model
If you've ever wired up the Web Speech API and rendered the result straight to the page, you've seen this: const recognition = new ( window . Speech…
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…
RAG - Async Pipelines, MCP
What is Synchronous? Everything goes sequentially. Example: P1, P2, and P3 are the three processes. Synchronous means P2 will start when P1 starts a…
Introducing Murya AI
Dear DEV Community, It feels great to be here, and thank you for the opportunity to be a part of this platform! This is my first post, and I am thri…
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…
"How Text Becomes Numbers: Tokenization Explained"
This article covers how raw text becomes something that an NLP model can actually compute with. Why Computers Cannot Understand Words? A neural netw…
Tokenization in AI: What Is It, Why Is It Used, and How Does It Work?
Have you ever wondered how an AI model understands the sentence you type? For example, when you ask: «"How do I learn Python?"» An AI model doesn't…
Impact of Inference Backends on LLM Reproducibility: Notes from a Research Paper
Recently I read aboyt this article: The Silent Hyperparameter: Quantifying the Impact of Inference Backends on LLM Reproducibility Here is what I le…
RAG - Query Transformation and Expansion
Query Transformation When a user asks a blended or incomplete query, such as: "How do I deploy it?" the LLM uses the background context it already h…
Why Japanese and Korean Break Your Text Processing Pipeline
Most text processing assumes tokens are separated by spaces. Japanese and Korean quietly violate that assumption in different ways, and pipelines bu…
Multi-Voice Audiobooks: The Character Attribution Problem
Turning a novel into a multi-voice audiobook sounds like a TTS problem. It is mostly a parsing problem, and the parsing is harder than the synthesis…
Fine-tuning MuRIL for Multilingual Citizen Grievance Classification (with all the bugs I hit)
Built a text classifier that routes Indian citizen grievances (Hindi / Hinglish / English, code-mixed) into 14 government department categories , us…
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…