Related

• Project
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  Contrastive Language Models (CLM) is a genuine AI project offering a fast, contrastively trained decision‑making model (CLM‑8B) that scores actions against textual states. It provides a pip‑installable library, a FastAPI server with a web playground, and a typed‑question API (binary, choice, score). The model achieves state‑of‑the‑art verification performance on agentic benchmarks while being up to 9× faster than comparable agents. It includes scripts for fine‑tuning the lightweight projection heads on custom data and is released under Apache 2.0.

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  A columnar file format by Meta designed for large, wide datasets, optimizing storage and access for machine learning training tables and feature engineering.

• Project
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  Intern-Decision is a model that turns a state, optional images, and typed questions (choice, score, yes/no) into calibrated decision probabilities. It fine-tunes Qwen3.5's language backbone, includes training and two inference backends, and ships with a distribution calibration benchmark and a browser demo.

• Project
  nokia-applied-research/AnyJev

  AnyJev lets you ask an LLM a typed question (choice, yes/no, or score) and get back a decision with a probability distribution over options, without parsing. It offers a training-free mode that corrects order and label bias with zero labels, and self-distilled Tacit models that give one-pass decisions with optional adaptive reasoning.