OutilsBaseten·-1 h·3 min de lectureRésuméÉcouter 0:49
The efficient frontier of LLM inferenceArticle discusses optimization techniques for reducing computational costs during language model inference.
Actualités IA
Ce qui a réellement été livré en ingénierie d’agents, d’après les laboratoires, arXiv et Hacker News.
Voir qui nous suivons141 articles
IndustrieGoogle AI·-4 h·3 min de lectureRésuméÉcouter 0:44
The latest AI news we announced in August 2026Google announced new AI updates and capabilities in August 2026.
IndustrieGoogle DeepMind·-8 h·3 min de lectureRésuméÉcouter 0:44
Introducing agentic video understanding with GeminiGoogle DeepMind introduced agentic video understanding capabilities for Gemini.
SûretéNVIDIA Developer·-8 h·3 min de lectureRésuméÉcouter 0:38
Building an Adaptive Agentic Cybersecurity System with NVIDIA NemotronNVIDIA Nemotron enables adaptive agentic systems for cybersecurity operations.
OutilsOpenAI·-8 h·3 min de lectureRésuméÉcouter 0:40
How AI-native companies turn workflows into operating capabilityBasis, Clay, and Exa Labs use AI agents to automate enterprise workflows.
OutilsNVIDIA Developer·-10 h·3 min de lectureRésuméÉcouter 0:49
How to Size GPUs for AI Inference and TCO Without OverspendingNVIDIA provides guidance on sizing GPUs for AI inference and cost optimization.
IndustrieOpenAI·-13 h·3 min de lectureRésuméÉcouter 0:43
Healthcare organizations can now connect EHR and additional industry data to ChatGPTChatGPT can now securely connect to healthcare EHR and medical research data.
OutilsPydantic·-16 h·3 min de lectureRésuméÉcouter 0:47
You.com is now a Pydantic AI capabilityYou.com integrates into Pydantic AI as web search and research capabilities with structured citations.
RechercheAi2·-17 h·3 min de lectureRésuméÉcouter 0:51·Repris par 2 sources
BenchMIRT: What are LLM benchmarks actually measuring?BenchMIRT audits LLM benchmarks question by question to reveal measured capabilities.
Également couvert parHugging Face
OutilsvLLM·-1 j·3 min de lectureRésuméÉcouter 0:42
MiniMax H3 on vLLM-Omni: From System-Wide Optimization to Real-Time Serving with FastVideo’s FastH3vLLM-Omni optimizes MiniMax H3 and integrates FastVideo's FastH3 for video generation faster than real-time playback.
IndustrieHugging Face·-1 j·3 min de lectureRésuméÉcouter 0:45
Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AIHugging Face released 200+ WebGPU kernels for running AI models locally.
RecherchearXiv cs.AI·-1 j·3 min de lectureRésuméÉcouter 0:38
Context-Aware Interleaved Batching for WhisperXContext-Aware Interleaved Batching maintains historical context during batched speech transcription to improve punctuation and terminology accuracy.
OutilsarXiv cs.AI·-1 j·3 min de lectureRésuméÉcouter 0:47
Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented GenerationConfigurable semantic chunking for biomedical RAG combines entity-preserving windows and trigger-centered chunking to avoid fragmenting semantic evidence.
RecherchearXiv cs.AI·-1 j·3 min de lectureRésuméÉcouter 0:43
OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment TechniquesOntoAligner-Ensemble uses voting-based fusion to reconcile outputs from heterogeneous ontology alignment techniques including LLMs and embeddings.
RecherchearXiv cs.AI·-1 j·3 min de lectureRésuméÉcouter 0:42
DIASENTINEL: An Auditable Multi-Agent System for Guideline-Grounded Diabetes Risk ScreeningDIASENTINEL is a multi-agent system for diabetes risk screening from electronic health records with guideline-grounded report generation.
RecherchearXiv cs.AI·-1 j·3 min de lectureRésuméÉcouter 0:52
When Does Bigger Help? A Controlled Study of LLM Scale for Ontology LearningControlled evaluation of 13 LLMs across Qwen and GPT variants shows varying effects of model scale on ontology learning performance.
RecherchearXiv cs.AI·-1 j·3 min de lectureRésuméÉcouter 0:50
Aspire: Can Models Self-Evolve from Vague Goals?Aspire enables LLMs to self-evolve from vague goals by interpreting objectives, identifying capability gaps, and assessing improvement.
RecherchearXiv cs.AI·-1 j·3 min de lectureRésuméÉcouter 0:45
BLOOM-WILT: Logit Tilting for Behaviour Elicitation in Automated LLM AuditingBLOOM-WILT uses logit tilting to improve sample efficiency of automated LLM auditors in detecting deployed model behaviors.
RecherchearXiv cs.AI·-1 j·3 min de lectureRésuméÉcouter 0:49
LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware EngineeringIndustrial LLM post-training treats deployed checkpoints as dataware artifacts updated via bounded mixture patches under fixed compute budgets.
RecherchearXiv cs.AI·-1 j·3 min de lectureRésuméÉcouter 0:54
S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement?S3Gym evaluates whether LLMs can self-test, self-judge, and self-improve through behavioral experience accumulated in environments.
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