Research

Task-Specialized Micro Language Models Outperform Larger Zero-Shot Models on Structured Data Extraction

maaza model family

Small language models designed for structured JSON generation on edge devices. Task-specific models that outperform larger general-purpose models on structured output.

A Large-Scale ML-Guided Search for 28-Term Prime Progressions

Computational search for arithmetic progressions of primes with 28 or more terms. ML-guided candidate generation across 10^9 candidates found no progressions exceeding 10 primes.

Security Research

Protecting AI infrastructure through independent security research.

• Hugging Face
• Microsoft ONNX Runtime
• ONNX
• Ollama
• llama.cpp
• OpenRouter
• LiteLLM
• LlamaIndex
• Triton Inference Server
• H2O
• OpenMMLab
• NLTK
• Fairseq
• Keras Tuner

Citations

@techreport{maaza2025,
  title={Task-Specialized Micro Language Models Outperform Larger
         Zero-Shot Models on Structured Data Extraction},
  author={CycleCore Technologies},
  institution={CycleCore Technologies},
  year={2025},
  type={Technical Report},
  url={https://cyclecore.ai/research}
}

@dataset{cyclecore_ap28_2025,
  author={CycleCore Technologies},
  title={A Large-Scale ML-Guided Search for 28-Term Prime
         Progressions: No Progressions with More Than 10
         Primes Found Among 10^9 Candidates},
  year={2025},
  publisher={Zenodo},
  version={v1.0},
  doi={10.5281/zenodo.17889361},
  url={https://doi.org/10.5281/zenodo.17889361}
}