Tag: frontier large language models
Browse our exclusive articles!
OrgAgent: Hierarchical Multi-Agent System for AI Efficiency
Discover OrgAgent, a hierarchical multi-agent framework that boosts AI reasoning, reduces token use, and improves coordination in complex tasks.
Scalable Pretraining of Large MoE Language Models on Aurora
Discover scalable pretraining of large Mixture of Experts language models using the Aurora supercomputer with high GPU efficiency and advanced optimization...
Spectral Compact Training for Efficient Large Language Models
Discover Spectral Compact Training, a memory-efficient method enabling large language model training on consumer hardware with truncated SVD and Stiefel QR...
First Logit Boosting to Reduce Object Hallucination in LVLMs
Discover First Logit Boosting, a training-free method to reduce object hallucination in large vision-language models for improved accuracy and reliability.
MAC-Attention: Fast, Accurate Attention for Long-Context LLMs
Discover MAC-Attention, a novel scheme boosting large language models with fast, accurate long-context attention and up to 14x speed improvements.