ATANT: AI Continuity Evaluation Framework
ATANT is an open evaluation framework for measuring continuity in AI systems. It assesses the ability to persist and update meaningful context across time.
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Algebraic Structure Discovery
Researchers propose a framework to uncover algebraic structures in combinatorial optimisation problems. This approach reduces search spaces and improves global optimal solution discovery.
AI Research Paper Writing Framework Released
PaperOrchestra is a new multi-agent framework for automated AI research paper writing. It transforms unstructured materials into submission-ready manuscripts, including literature synthesis and generated visuals.
Phase-Associative Memory
Phase-Associative Memory (PAM) is a new sequence model using complex-valued representations. It achieves 30.0 validation perplexity on WikiText-103, close to a matched transformer's 27.1.
MegaTrain: Full Precision Training
MegaTrain enables full precision training of large language models on a single GPU. It stores parameters in host memory and uses GPUs as compute engines.