Google's Meena transformer chatbot implementation
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Updated
Oct 30, 2021 - Jupyter Notebook
Google's Meena transformer chatbot implementation
TextAuth — Evidence-Based Text Authenticity Analysis: A forensic analysis system that evaluates textual evidence using multiple statistical, linguistic, and semantic signals to assess content authenticity across education, publishing, hiring, and research domains.
Local, full-logit AI text forensics and humanization toolkit. It scores markdown with observer/performer llama.cpp models (logPPL, logXPPL, B), surfaces chunk-aware hotspots and heatmaps, ranks rewrites, and ships CLI, desktop UI, Obsidian plugin, VS Code extension, and HTTP API (dev-grade) server with GUI test/demo harness.
Trigram Language Model for Spanish trained on Cervantes' texts
Implemented and compared Statistical and Neural Language Models. Built N‑gram models with Kneser‑Ney & Witten‑Bell smoothing and a Neural Language Model, evaluated using sentence‑level and corpus‑level perplexity scores on multiple text corpora to analyze performance differences between statistical and neural approaches
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