AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,573 papers
An idealized model for the residual phase is proposed, which records where each shadow weight sits inside its quantization cell as a fraction of the cell width as a fraction of the cell width, which leads to a crossing law that determines which coordinates cross quantization boundaries after a shadow update.
This paper examines whether commits can be labelled as bug fixes from their content alone, using open-weight language models that run locally and therefore keep the process reproducible, inexpensive at corpus scale, usable on proprietary code, and independent of any issue tracker.
It is argued for a bridging model with more than one axis of disagreement, and for recruiting raters in the languages the current design reaches least, for recruiting raters in the languages the current design reaches least.
Small open-weight language models are assumed to fail at agentic database work because they lack the reasoning capacity for it, and a test against a production system finds that that assumption is false.
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This model couples a frozen Wav2Vec2-BERT audio encoder with a frozen E5 text encoder and aligns them through small trainable projection heads, using a contrastive objective that combines a cross-modal supervised-contrastive loss with intra-modal terms.
FAN is introduced, which achieves the highest performance and demonstrates consistent robustness, providing insightful guidance for building stable action representations in achieving effective lifelong VLA adaptation.
Farmer.Chat is Digital Green's farm advisory service for smallholder farmers. When something looks wrong with a crop, the farmer takes a photograph and sends it, and that photograph is the whole question: no symptom described, no crop named, often no text at all. The service has to determine whether the picture can be...
An embedding translator that maps a small text encoder into a large encoder space to cut weight and latency; a reproducible sweep recipe for navigating the speed/quality/memory triangle in diffusion pipelines; and an interactive on-device image generation editor achieving sub-second TTFI on recent GPUs are made.
IntBMoE is a block-conditioned MoE that decouples all three by pairing dense expert composition with sparse block execution, and shows consistent gains over representative sparse and dense MoE baselines on image classification.
A common requirement across organizations is to have a tool that can identify file types based on their contents, particularly in the cybersecurity domain where magic numbers and file extensions can not be trusted. While existing tools work well in practice, there is plenty of room for improvement either in terms of co...
The core model, Samsone-134M, establishes a new state-of-the-art for its size class across multiple benchmarks, and the scaling laws of SALMs are explored by introducing Samsone-99M and Samsone-356M, a family of SALMs designed for edge computing.
Off-target protein binding is a major source of adverse effects for small-molecule drugs, yet most structure-based molecular design methods focus on generating selective compounds de novo rather than improving the selectivity of existing, well- characterized drugs. We introduce specificity optimization (SpecOpt), a mol...
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
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Gemini 4 Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities.
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