AI Models Grow Larger as New Architectures Emerge
Verified
The Hugging Face blog said the GPT-2 model contained 1.5 billion parameters and researchers initially considered it too dangerous to release. The Gradient reported that Transformers lead artificial intelligence architecture. State Space Models such as Mamba offer an alternative approach. The Hugging Face blog said scaling laws show performance improves with more data and parameters. Mixture of experts models address the practical constraints of dense scaling. The Gradient said Mamba aligns with Transformer performance and scaling laws. State space models generally enable feasible processing of sequences up to one million tokens.