Parformer Discount Codes Apr 2025 - 12% OFF

Parformer is a type of transformer model that incorporates local computation into the attention mechanism. Developed by researchers at Google Research, Parformer addresses limitations in traditional transformer models that struggle to handle long-range dependencies due to the quadratic attention complexity.Instead of attending to all tokens, Parformer uses an adaptable axial attention mechanism that attends only to a subset of tokens within a given window. This allows for efficient computation, allowing the model to scale to longer sequences.By attending only locally, Parformer reduces computational complexity while still capturing important global information. It achieves this by using axial position encodings and using fewer attention heads compared to traditional transformers.In addition, Parformer also introduces a novel parameter-efficient distillation method called Knowledge Distillation from Implicit Ensemble (KDIE), which helps improve its performance on downstream tasks while reducing the size of the model.Parformer has shown promising results on various natural language processing tasks such as text classification and named entity recognition. Its ability to handle long sequences efficiently makes it particularly useful for tasks involving lengthy texts or documents.Overall, Parformer represents an advancement in transformer architectures by incorporating local computation and reducing computational complexity while still maintaining strong performance on various NLP tasks.

Parformer's main products are artificial intelligence (AI) solutions and machine learning (ML) tools.