Text generation is one of the use case where LLM is used widely. Here text generation problem solved using encoder and decoder model with defining blocks ...

In this project, both encoder and decoder based models are fine-tuned to detect presence of AI-generated text. Encoder-based models used include ELECTRA and DeBERTa while decoder-based models used is ...

Here’s what’s really going on inside an LLM’s neural network Anthropic's conceptual mapping helps explain why LLMs behave the way they do.

The data-to-text generation task mainly uses the encoder-decoder architecture, in which the context module provides the information that the decoder wants to observe at the moment. However, there are ...

An LLM puts a user’s question or command through layers of decision-making nodes in the neural network to come up with a response. Here’s a simplified depiction of the process. Training ...

Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the spiking ...