Gujarati minimal pairs - phoneme contrast training data

Nepali minimal pairs - phoneme contrast training data

6 MB Tesseract 4.1 (with English training data) to fit inside AWS Lambda

Portuguese (Brazil) minimal pairs - phoneme contrast training data

Bengali minimal pairs - phoneme contrast training data

Multi-LLM orchestration framework with agentic execution, memory/RAG, and training data generation

Scrape and chunk websites into AI-ready training data for RAG, LLM fine-tuning, and vector databases

Force live data sourcing. Never cite facts from training data without a live lookup. Pi extension, skills.sh package, Claude Code plugin.

Amharic minimal pairs - phoneme contrast training data

GymTempo MCP server — connect AI assistants to your training data

Claude Code plugin with a Currency Guard that keeps Claude on current docs (not stale training data), elite SEO strategy (GSC + Bing + GA4 keyword intelligence, index doctor, AI traffic tracking, IndexNow, cross-reference, CTR anomalies, brand filtering),

OCR stdlib adapter for glove-working-environment. Turns a scanned PDF or a photo of a document into text inside the agent's virtual filesystem as env:ocr — bundled Tesseract WASM plus bundled English training data, so it works with no host wiring and no n

Spanish (Latin America) minimal pairs - phoneme contrast training data

A lightweight TypeScript/JavaScript package for collecting LLM training data

Canon-aligned dataset production and generation workbench — define visual rules, build versioned training data, compile production briefs, run local workflows, batch-produce, select winners, and re-ingest into your corpus

Small JS tool for generating training data using OpenAI's API compatible endpoints. Works for local LLMs as well. #localLLAMA

Evidence-scoped model lifecycle dossiers across training, data provenance, weights, runtime, agency, affect, power, and ontology

NeuralGraph is an AI training data visualization tool that helps analyze and interpret training data for neural networks. It provides visualizations of loss and accuracy trends over epochs, allowing users to gain insights into the training process and ass

MCP server for Garmin Connect - access fitness, health and training data

Training-data provenance: hash a training set into a sorted-Merkle manifest, then PROVE a named subject's data was absent from a real training run - a non-membership proof anyone can check offline. 'It was never used to train a model' becomes a yes, not a