Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
Scalable Chiplet System for LLM Training, Finetuning and Reduced DRAM Accesses (Tsinghua University)
A new technical paper titled “Hecaton: Training and Finetuning Large Language Models with Scalable Chiplet Systems” was published by researchers at Tsinghua University. “Large Language Models (LLMs) ...
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Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
In the course of human endeavors, it has become clear that humans have the capacity to accelerate learning by taking foundational concepts initially proposed by some of humanity’s greatest minds and ...
Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of ...
Google LLC’s artificial intelligence research unit DeepMind today unveiled a trio of new advances that it says will help robots make better, faster and safer decisions in the wild. The advances, which ...
A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was published by researchers at imec. “Large language models (LLMs), based on ...
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