Method corrects stochastic update bias in preconditioned language model optimizers.
What actually shipped in agent engineering, pulled from the labs, arXiv and Hacker News.
See who we followMethod corrects stochastic update bias in preconditioned language model optimizers.
GLiNER2-PII extracts personally identifiable information across multiple languages.
GLiGuard uses schema-conditioned classification to moderate LLM-generated content.
Pioneer Agent continuously improves small language models deployed in production.
Framework measures proactive problem-solving capabilities in LLM agents beyond reactive behavior.
GLiNER2 performs multi-task information extraction using schema-driven interface design.
GLiNER is a generalist model for named entity recognition using bidirectional transformers.
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