Embeddings Cannot Say No: An Intent Detector's Real Numbers
My message detector worked on my test set. On messages it had never seen, it missed one real case out of two. TL;DR : I built a small detector that…
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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…
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…
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…
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…
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…
RAG - Memory Systems
We need memory to store the previous conversational history. For example: Previous question is: User: File handling in Python Assistant: Explain abo…
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 AI understands formal Arabic but gets lost in dialects
Ask an AI chatbot a question in formal Arabic (Fusha) and it answers beautifully. Ask it the same thing in Gazan, Egyptian, or Moroccan dialect — an…
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…
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…
Digit Tokenization: Why Commas Fix LLM Arithmetic
Take the number 1234567 . Now take 234567 . To you, the second is the first with the leading digit removed — the trailing six digits are identical,…
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…
RAG - Semantic Caching
When a user submits a query, the query is converted into an embedding and searched against the vector database to retrieve the relevant documents. B…
Why Android's Speech Recognizer Struggles with Tagalog and What I Did About It
ViVeL — Vida Verdadera De Dios, "True Life of God." I wanted a name shaped like Israel: not just a label, but a word that says something about who t…
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…
LingoBridge-AI: Simplifying Complex Medical Reports for Rural Patients
Body: Hi everyone! 👋 I am excited to share my latest project, LingoBridge-AI, which I have been building to solve a critical problem in rural heal…
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…