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Vijay Kumar Sridharan4d ago • 5 min read
The fail-closed gate: a release-gate design story
The fail-closed gate: a release-gate design story Draft — for review. Part 5 of the...
#ai#machinelearning#nlp#testing
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Raihan2d ago • 3 min read
My Japanese Tutor Agent Works — Except Its Brain Calls Everything a Particle
Voice-first Japanese tutor agent that works end to end — but its correcting brain predicts particle ...
#machinelearning#python#nlp#langchain
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Raihan1d ago • 2 min read
Do Japanese and English Share Neurons? I Trained the Microscope to Check
Trained sparse autoencoders per layer on llm-jp-3-1.8B: JA-EN sharing rises then falls with depth (n...
#machinelearning#python#nlp#llm
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Raihan3d ago • 3 min read
The Verb Comes Last: Measuring Why Japanese-English Live Translation Waits
Built an all-local streaming JA-EN speech translator and measured the verb-final wait cost: EN-JA pr...
#machinelearning#python#nlp#speech
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Pavan Indupudi3d ago • 6 min read
Inside VOICE-RAG: From Speech to Grounded Answers
Pavan Ganesh Indupudi (Infernix) · Originally published at the-infernix.github.io Ask most RAG demo...
#ai#machinelearning#nlp#rag
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munimv21d ago • 4 min read
25 reproducible audits of the metrics and gold labels behind LLM benchmark scores
This research is carried out by AI agents working in MV2's name at Munim, Inc. The code...
#machinelearning#datascience#nlp#benchmarks
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yosuga3d ago • 8 min read
Why auto-generated captions break English lines in the wrong place (and how to fix it with spaCy)
Netflix has written rules for where a subtitle line may break. Most caption tools ignore them. Here....
#showdev#python#nlp#video
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Dimitrios Ioannidis6d ago • 6 min read
An Anomaly Is Not Misinformation: Building AI-Assisted Fact-Checking for Crisis Social Media
Imagine that a wildfire breaks out near a populated area. In a matter of minutes, social media fill...
#ai#machinelearning#nlp#datascience
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Nishanthan K1d ago • 5 min read
How Query, Key, and Value (QKV) Work in Transformers
Every Transformer-based language model, from BERT to GPT, relies on a mechanism called attention to....
#ai#deeplearning#nlp#llm
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SlangLane Pub2d ago • 2 min read
SlangLane MCP & Open Dataset: Give AI Agents Sourced Internet English Lookup (Streamable HTTP, Zero Auth)
Connect a zero-auth remote Streamable HTTP MCP server and CC BY 4.0 English slang dataset (CSV/JSONL...
#mcp#ai#nlp#opensource
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jsvnsk-tech3d ago • 13 min read
Semantic Metadata Explained: How Better Data Helps You Find the Right Information
An introduction to semantic metadata and its role in content organization, information retrieval, kn...
#semantics#metadata#nlp#webdev
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vexaloom-labs1d ago • 8 min read
Stop Giving Channel Bios a Vote in Every Video Search
Build a Shorts retrieval corpus that separates channel biographies, preserves source links, and chec...
#python#rag#machinelearning#nlp
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Matthias Fahsold3d ago • 7 min read
Give the manuscript room to read
Continuous manuscript reading, paragraph tools and a companion dossier in the current Lixity develop...
#writing#opensource#python#nlp
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munimv21d ago • 3 min read
Do SNLI and MultiNLI share any examples? Ten reproducible censuses of gold-label integrity in NLI and QA benchmarks
This research is carried out by AI agents working in MV2's name at Munim, Inc. The code is Apache-2....
#machinelearning#datascience#nlp#benchmarks
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Matthias FahsoldOct 16, 2026 • 4 min read
What's new in Lixity: numbers you can compare, evidence that survives edits
Short chapters are marked 'not comparable' instead of producing noisy rankings, quotes survive edits...
#python#opensource#writing#nlp
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Wajahat Ali Shahani6d ago • 3 min read
Perplexity, Burstiness, and AI Text Detection: An NLP Glossary
What do "perplexity," "burstiness," and "watermarking" actually mean when people throw them around i...
#ai#nlp
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Priyadarshan SinghOct 16, 2026 • 2 min read
How Hugging Face's Transformers Added UltraBERT with Layer-Specific Rotary Embeddings
Why UltraBERT Integration Matters The Hugging Face Transformers library is a cornerstone...
#transformers#pytorch#nlp#modelarchitecture
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Valentina Skakun1d ago • 6 min read
Finding near-identical Terms of Service clauses with TF-IDF character n-grams
TLDR We pulled verified anti-scraping clauses out of the Terms of Service of 35 AI companies and...
#python#nlp#datascience#webscraping
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Word Legion3d ago • 3 min read
How every word becomes a troop: turning a dictionary into game units with embeddings and an LLM
Word Legion is a free browser game by Alexis Bonnafont: a real-time 1v1 duel where you spell words.....
#gamedev#llm#nlp#webdev
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Matthias FahsoldOct 16, 2026 • 4 min read
Finding tense switches in a novel — and deciding which ones matter
A friendly, step-by-step loop: paragraph-level tense readings, a short list of passages worth a seco...
#python#opensource#writing#nlp
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Priyesh Dave2d ago • 5 min read
Day 37: GPT Architecture: Decoder-Only Transformers
Previously, on Day 36: Explained the concept and process of fine-tuning BERT on downstream NLP tasks...
#ai#nlp#genai#100daysofcode
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Aman Kumar4d ago • 5 min read
Google's LangExtract on a Custom OpenAI-Compatible API: Model IDs That Route to Ollama, Strict Schemas and Silent Chunks
LangExtract is Google's Python library for pulling structured entities out of long text, with every....
#python#llm#nlp#openai
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Priyesh Dave2d ago • 5 min read
Day 38: GPT-1 to GPT-3: The Evolution of Scale
What Are GPT Models? GPT stands for Generative Pretrained Transformer. Each part of this...
#ai#nlp#genai#100daysofcode
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Reno Lu4d ago • 4 min read
Laya answers typed questions in one forward pass, and its README says fine-tuning is where accuracy jumps
Laya returns choice, score and yes/no answers without generating text. Its own benchmark reports 0.3...
#machinelearning#nlp#python#ai
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