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AI promises productivity, but for managers, it’s mostly a headache for now44m◆NVIDIA Kumo Forecast Combines Pretrained Time-Series Representations with Historical Pattern Retrieval and Interpretability1h◆OpenAI models are coming to Google Cloud2h◆Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories3h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response10h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making10h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents10h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD10h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value10h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models10h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations10h◆When Synthetic Speech Is All You Have: Better Call GRPO10h◆Reducing belief in conspiracy theories as they unfold using large language models10h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors10h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization10h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning10h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding10h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment10h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions10h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents10h◆AI promises productivity, but for managers, it’s mostly a headache for now44m◆NVIDIA Kumo Forecast Combines Pretrained Time-Series Representations with Historical Pattern Retrieval and Interpretability1h◆OpenAI models are coming to Google Cloud2h◆Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories3h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response10h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making10h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents10h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD10h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value10h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models10h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations10h◆When Synthetic Speech Is All You Have: Better Call GRPO10h◆Reducing belief in conspiracy theories as they unfold using large language models10h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors10h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization10h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning10h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding10h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment10h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions10h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents10h◆

News/model/LFM2.5-8B-A1B-MLX-8bit

LFM2.5-8B-A1B-MLX-8bit news

5 articles mentioning LFM2.5-8B-A1B-MLX-8bit

huggingfaceOct 13

Run fast, private agents on-device with LFM2.5-24B-A2B

huggingfaceSep 24

Accelerating vision-language models with LFM2.5-VL-DSpark

huggingfaceAug 20

Up to 3.2x Faster Inference with LFM2.5-DSpark

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huggingfaceJul 28

LFM2.5-Encoders for Fast Long-Context Inference on CPU

arxivJul 21bullish

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL

arXiv:2607.16204v1 Announce Type: new Abstract: Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand-curated environments with fixed task and reward difficulties become ineffective signals as model performance improves, and sparse rewa

#reinforcement-learning #world-models #autoregressive-models