Jun 17, 2023 · Delve into Transformer architectures: from the original encoder-decoder structure, to BERT & RoBERTa encoder-only models, to the GPT series focused on decoding. Explore …

Feb 3, 2024 · In a translation task, an encoder takes an English sentence and converts it into a vector that represents its linguistic features and meaning. Decoder: Takes the encoded …

Sep 22, 2024 · Encoder-Only vs Decoder-Only Style LLM Architectures: Understanding the Differences. Language models have transformed the field of natural language processing, with …

Apr 8, 2023 · This paper aims to address this gap by conducting a detailed comparison between the encoder-decoder architecture and the decoder-only language model framework through …

Mar 22, 2024 · What are Encoders in LLMs? Encoders in the context of LLMs are algorithmic structures designed to process and transform input text into a format that the model can …

May 4, 2024 · Some others, like T5, have both an encoder and a decoder, with some small modifications on the architecture and training strategy. Why some LLMs took only a part of the …

Apr 27, 2024 · In this comprehensive guide, we will explore the inner workings of decoder-based LLMs, delving into the fundamental building blocks, architectural innovations, and …

Low-cost training and deployment of LLMs represent the future development trend. This paper reviews the evolution of large language model training techniques and inference deployment …

Gain a comprehensive understanding of LLM architecture; Construct and deploy real-world applications using LLMs; Learn the fundamentals of search and retrieval for AI applications; …

Encoder - accepts the input data and converts it into an abstract continuous representation that captures the main characteristics of the input. Decoder - translates the continuous …