Google announced the large-scale language model (LLM) ' Gemma 2 ' in June 2024. Gemma 2 was initially announced with two parameter sizes, 9 billion (9B) and 27 billion (27B), but the company has ...

alt Inc. begins construction of large language models with trillions of parameters: Pursuing the world's best speed and cost performance by designing backward from use cases Pursuing the world's ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

TL;DR Key Takeaways : K-Transformers is an optimization framework that minimizes memory usage and enhances computational performance, allowing large-scale AI models (e.g., 600B parameters) to run ...

Pretrained large-scale AI models need to 'forget' specific information for privacy and computational efficiency, but no methods exist for doing so in black-box vision-language models, where ...

The world's first large-scale seismic data processing model with 100 million parameters called "DiTing" has been officially released, a significant advancement for China in key technologies in ...

For example, you can run large-scale models like Llama 3.1, which features 45 billion parameters, without the need for expensive, dedicated infrastructure.

However, retraining a large-scale model consumes enormous amounts of energy," says Dr. Irie. "Selective forgetting, or so-called machine unlearning, may provide an efficient solution to this problem." ...