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Intelligence Artificielle

Reviewing Model Collapse and Countermeasures

arXiv:2608.21366v1 Announce Type: new Abstract: Driven by massive amounts of web-scale data, generative AI (GenAI) has achieved remarkable progress, enabling various applications in diverse sectors. The advances of GenAI have actuated practitioners to use AI-synthesized data for training next-generation AI models. Undeniably, using synthetic data has alleviated the increasing…

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Intelligence Artificielle

AIREP: A Protocol for Per-Decision Evidence in AI Runtime Governance

arXiv:2608.21363v1 Announce Type: new Abstract: A protocol is presented for recording the governance decisions of automated AI runtimes. When a runtime releases, blocks, defers, redacts, or escalates an individual output, AIREP records that decision as a single signed object that any party can check offline, independent of the runtime that produced it. A record carries the…

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Intelligence Artificielle

KVBoost: Chunk-Level Key-Value Cache Reuse with Deviation-Guided Recomputation for Efficient Large Language Model Inference

arXiv:2608.21362v1 Announce Type: new Abstract: Transformer-based large language models (LLMs) incur high prefill latency because key-value (KV) tensors must be recomputed for each request. Existing prefix-caching systems reduce this cost but require prompts to share a leading contiguous prefix, limiting effectiveness when shared content appears at arbitrary positions. We…

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Intelligence Artificielle

La spécification est devenue le livrable

Le constat vient de l'éditeur de la plateforme GitHub, qui a publié le 2 septembre 2025 une boîte à outils pour faire de la (...)

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Intelligence Artificielle

Hugging Face envisage une vente qui l'évaluerait à 13 milliards de dollars, selon le Business Insider

En moins de trois ans, l'entreprise Hugging Face pourrait tripler sa valeur selon le Business Insider. Fondée en 2016 à New York par Clément (...)

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Intelligence Artificielle

L'IA est partout dans les entreprises, les agents presque nulle part

L'enquête McKinsey, reprise par l'index annuel de Stanford, sépare deux étapes que le langage courant confond. Utiliser l'IA n'est (...)

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