Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
- meta-learning
- reinforcement-learning
- rsi
- ai-agents
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Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
Romanian and Ukrainian child-safety structured-check toolkit and synthetic research records
Feather agent harness, training integrations, and evaluation tools for knowledge work
A Hub/research area, for jailbreaking LLM's, and breaking their safety filters.
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Fault-injected tool environments with side-effect grading for evaluating and post-training LLM agents
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.