🤖
Intelligence Artificielle
Nvidia va acquérir Hugging Face pour 12,93 Md$
C’est désormais confirmé, Nvidia a annoncé la signature d’un accord définitif pour acquérir Hugging (...)
Lire l'articleChargement…
🧠
Intelligence Artificielle
Corporate Language Model (CLM): Transforming Tacit and Fragmented Enterprise Knowledge into a Sovereign, Auditable, and Executable Corporate Intelligence Layer
arXiv:2609.04377v1 Announce Type: new Abstract: Enterprise AI deployments fail not from model inadequacy, but because organizations lack a structured substrate encoding how they decide, negotiate, and execute. Generic LLMs carry no firm-specific ontological priors; RAG remains brittle, with no path to executable action; static playbooks encode logic but cannot reason or…
Lire l'article
🧠
Intelligence Artificielle
Why Better Models Can Create Riskier Systems: Evidence from LLM Agents in Financial Markets
arXiv:2609.04373v1 Announce Type: new Abstract: Large language models (LLMs) are being deployed at scale in consequential real-world systems, from financial markets to content moderation to hiring. We show that improving individual model capability can degrade rather than improve system-level outcomes. We hypothesize that shared training and architectures can lead more…
Lire l'article
🧠
Intelligence Artificielle
A Removal Based Approach to Improve LLM Faithfulness at Test-Time
arXiv:2609.04343v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for consequential decisions, making their explanations an important tool for auditing model behavior. Unfortunately, these explanations can be unfaithful, failing to reflect the actual reasoning underlying the model's decisions. We consider a setting in which an LLM provides…
Lire l'article
🧠
Intelligence Artificielle
Iris: Climbing to the Search Frontier
arXiv:2609.04304v1 Announce Type: new Abstract: We present Iris-mini and Iris-pro, two search agents trained at the 35B-A3B and 397B-A17B scales, together with the data pipeline and training recipe behind them. Tasks are reverse-constructed from the hyperlink structure of a web corpus: we author multi-hop chains over an entity graph distilled from a seed page and its…
Lire l'article
🧠
Intelligence Artificielle
Data-Optimized Contingency Screening: A Machine Learning Approach to Power System Security
arXiv:2609.04300v1 Announce Type: new Abstract: Ensuring the security of the power system is essential for stability and reliability, especially in the event of disruption. Effective classification of contingency in power systems enables proactive decision-making and mitigates large-scale breakdowns and failures. This study explores the use of machine learning algorithms to…
Lire l'article