Inference Extrapolation Position Embeddings Attention with Linear Biases public – 2 min read ALiBi, or Attention with Linear Biases, is a new method for inference extrapolation in Transformer models. This method is used… Apr 23, 2023 Devin Schumacher
Position Embeddings Conditional Positional Encoding public – 2 min read What is Conditional Positional Encoding (CPE)? Conditional Positional Encoding, also known as CPE, is a type of positional encoding used… Apr 23, 2023 Devin Schumacher
Position Embeddings Rotary Position Embedding public – 2 min read What are Rotary Embeddings? In simple terms, Rotary Position Embedding, or RoPE, is a way to encode positional information in… Apr 23, 2023 Devin Schumacher
Position Embeddings Relative Position Encodings public – 3 min read Overview of Relative Position Encodings Relative Position Encodings are a type of position embeddings used in Transformer-based models to capture… Apr 23, 2023 Devin Schumacher
Position Embeddings Absolute Position Encodings public – 3 min read Absolute Position Encodings: Enhancing the Power of Transformer-based Models For decades, natural language processing (NLP) models have struggled to outperform… Apr 23, 2023 Devin Schumacher