Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling platform Datasaur today unveiled a new feature that ...
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) ...
MIT researchers achieved 61.9% on ARC tasks by updating model parameters during inference. Is this key to AGI? We might reach the 85% AGI doorstep by scaling and integrating it with COT (Chain of ...
Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...
Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.
As the excitement about the immense potential of large language models (LLMs) dies down, now comes the hard work of ironing out the things they don’t do well. The word “hallucination” is the most ...
As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...
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