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 , usin…
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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 aut…
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 health…
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 r…
I built a from-scratch Transformer + MiniGPT in pure Python (no PyTorch/TF/NumPy) to learn how it all fits feedback on the autograd?
Cognitive Discovery System (CDS) a scientific computing library written in pure Python. No NumPy, no SciPy, no compiled extensions. Zero dependencies,…
minbpe vs turboBPE: Two ways to think about tokenizer training
If you have spent time understanding how LLMs process text, you have probably come across Byte Pair Encoding. It is the algorithm sitting quietly unde…
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 part …
Tokenization under the hood: BPE, WordPiece, SentencePiece, and Unigram compared
Tokenization under the hood: BPE, WordPiece, SentencePiece, and Unigram compared You deploy a chatbot. English queries average 42 tokens each. Then a …
Samiksha AI: Universal Review & comment Analyzer
Hey DEV Community! I recently participated in a hackathon and built Samiksha AI , a universal review and comment analyzer designed to turn messy custo…
CareerPilot AI:AI Resume Analyzer
In the modern job market, hiring managers and talent acquisition teams face an overwhelming influx of job applications. For a single opening, hundreds…
The Context Compression Pattern
Pattern Defined Precise Definition: Context Compression is an inference pattern that utilizes a specialized "selector" model or a ranker to distill la…
Bridging the Rigidity Gap: Deploying Secure Agentic RAG in Healthcare Governance
In the healthcare industry, data is both an organization's most valuable asset and its most heavily guarded liability. While industries like e-commerc…
The Macro Failure of "One-Size-Fits-None" Reporting: Why Healthcare Providers Fail to Act on Patient Feedback - Part I
Every month, healthcare jurisdictions pool millions of dollars into collecting Patient-Reported Experience Measures (PREMs). Millions of text files an…
I built an AI contract review and reader tool for plain-language contract understanding
I recently launched SpotClause, a small AI contract review and reader tool. The idea came from a simple problem: contracts are often difficult to read…
How I Built Semantic Discussion Clustering Without Embeddings (and Why It Was Good Enough)
The Problem I wanted to monitor discussions around products, bugs and trends across communities. Examples: Reddit Hacker News GitHub Issues Forums Mos…
Hybrid Search Blueprint Series: Semantic Boosting
This article was written by Erik Hatcher . This is the third and final article of this hybrid search series. First, we surveyed the (hybrid) search la…
Generation 1 — Standalone Models (2018–2022)
The Foundation of Modern AI Systems When people think of tools like ChatGPT, they often assume the intelligence comes from a single powerful system th…
Did My LoRA Learn Tenacious Style—or Just Memorize Augmented Patterns?
In Week 11 Tenacious-Bench, we trained a LoRA adapter on Tenacious-style B2B sales emails using Supervised Fine-Tuning (SFT). We got a real performanc…
Auto-Furigana in the Browser — Lazy-Loading kuromoji.js's 4 MB Dictionary from a CDN to Annotate Japanese Kanji With Their Readings
Furigana are the small hiragana annotations that sit above kanji to show how they should be read. Schoolbooks, kid manga, and language-learning materi…
How to Add Sentiment Analysis to Any App in 5 Minutes (Free API)
Most text analysis solutions fall into one of two problems: Too expensive — OpenAI API costs money for every call Too complex — Hosting your own Huggi…