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 ...

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.

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 ...

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 ...

The automatic generation of video description is currently a topic of interest in computer vision due to applications such as web indexation, video description for people with visual disabilities, ...

In image segmentation by deep learning, encoder-decoder Convolutional Neural Network (CNN) architectures are fundamental for creating and learning representations. However, with many filters in these ...