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The proposed framework uses a shared-specific Mixture-of-LoRA architecture comprising one shared LoRA and six task-specific expert LoRAs, together with a two-stage training procedure, and achieves good results in the FLARE 2026 Task 3 test sets.
Testing on a large cohort of soil metagenomes, it is found that BBERT identifies bacterial sequence syntax without relying on reference databases, enabling accurate assignment of taxonomic domain, coding potential, and reading frame directly from reads as short as 100 bp.
This is unedited work with Mistral Vibe. Quality/logic checked through multiple different instance reviews. Proceed with caution. This manual presents a novel methodology for detecting algorithmic bias in large language models (LLMs) by analyzing GPU power-line current fluctuations during inference. Unlike existing bia...
Ternary (1.58-bit) language models are stored in practice at two bits per weight, 26% above the information content of a ternary symbol. The code that removes that redundancy is not new: five ternary values as the base-3 digits of one byte at 1.600 bits per weight is llama.cpp's TQ1_0 and Spectra 1.1's TQ1; the depth-o...
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Pre-Alpha Ethiopic (Geʽez / Amharic) recognition model — PP-OCRv6 medium fine-tune Status: preliminary / pre-Alpha. This deposit is an early public checkpoint, not a finished production model. Better versions are planned as soon as additional medieval and pre-modern Ethiopic ground truth can be annotated and curated. H...
Agentic artificial intelligence is emerging as an extension of Precision Livestock Farming by linking perception, reasoning, planning, and bounded action within human-supervised livestock-housing workflows. This review synthesizes 90 publications on agentic AI, multi-agent systems, retrieval-augmented generation, large...
Current evidence is insufficient to establish improvements in MDT decision quality or patient outcomes, and AI should be regarded as a supervised support tool rather than a replacement for expert multidisciplinary judgment.
Claims that generative artificial intelligence (GenAI) improves language learning depend on the counterfactual, the assessment condition, and the time horizon. We conducted a convergent segregated mixed-methods evidence audit of GenAI-supported English-language learning and introduced an inference-ceiling framework tha...
Semantic interlingua over the 65 NSM primes (NSM Chart v15, Goddard & Wierzbicka), with PropBank roles, a 10-axis diacritic feature mask, and macro crystallisation. Codec — binary wire format and agent transport binary.py — NG-BIN v1, a LEB128 varint format over the glyph graph; order-preserving, no external dependenci...
WhisperWolf: A Monte Carlo Benchmark for Small LLMs in a Social Deduction Game Multi‑agent conversational games such as Werewolf offer a valuable testbed for evaluating the social reasoning, deception and persuasion abilities of large language models. This work presents WhisperWolf, a reproducible Monte‑Carlo benchmark...
Ternary (1.58-bit) language models are stored in practice at two bits per weight, 26% above the information content of a ternary symbol. The code that removes that redundancy is not new: five ternary values as the base-3 digits of one byte at 1.600 bits per weight is llama.cpp's TQ1_0 and Spectra 1.1's TQ1; the depth-o...
Braille literacy among blind school-age children fell from roughly 50 percent in 1960 to under 10 percent today, and the decline is a content problem, not a technology problem: producing one illustrated braille page still requires specialized software and trained labor, so almost nothing in the existing catalog is pers...
A Blog post by NVIDIA on Hugging Face
Data Mining & Modeling
A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Blog post by IBM Granite on Hugging Face
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