An Encoder-Decoder model is a fundamental architecture in the field of deep learning and natural language processing (NLP). It's widely used for a variety of tasks, including machine translation, text ...

BERT is a prime example of an encoder-only architecture. It reads full input sequences bidirectionally and is designed for understanding and encoding text. The decoder is used to generate output ...

Encoder-Decoder Self-Attention Mechanism ... extract distinct characteristics and underlying patterns from the input, which in turn improves the LLM. However, after developing your LLM, the next most ...

LLM can do everything from answering questions to summarizing ... Decoder layers: Some transformer-based models have a decoder layer on top of the encoder layer. Decoder layers allow for ...

unsupervised method to convert any pre-trained decoder-only LLM into a text encoder. LLM2Vec is very data and parameter-efficient and does not require any labeled data. There are three simple steps in ...