Why Is the 4090 Much Faster Than the A100?

Why Is the 4090 Much Faster Than the A100?

Click on the above “Beginner Learning Visuals“, select to add “Star” or “Top“ Important information delivered at the first time Author: Li Bojie @ Zhihu PhD in Computer Science from USTC and MSRA, Huawei Genius This is a good question. First, let’s state the conclusion: the 4090 is not suitable for training large models, but … Read more

Scientists Achieve Dynamic Inference Selection in Large Models, Surpassing Static Techniques

In recent years, enhancing the inference capabilities of large models has garnered widespread attention. For instance, OpenAI’s o1, as an inference-enhanced large model, has attracted significant interest from the AI community. Dr. Yuerong Yue from George Mason University and his team noted that many previous studies have demonstrated the effectiveness of various prompting strategies in … Read more

Dynamic Neural Networks: Key Challenges and Solutions

Dynamic Neural Networks: Key Challenges and Solutions

Originally from Zhiyuan Community [Column: Key Issues]In recent years, we have witnessed increasingly powerful neural network models, such as AlexNet, VGG, GoogleNet, ResNet, DenseNet, and the recently popular Transformer. The processes used by these neural networks can be summarized as follows: 1) Fixed network architecture, initializing network parameters; 2) Training phase: optimizing network parameters on … Read more