The encoder is responsible for processing the input data and creating a fixed-dimensional representation (often called a "context" or "thought vector") of the input sequence. Key points about the ...

Knowledge Engineering using LLM. Contribute to mgorav/KnowledgeEngineeringLLM development by creating an account on GitHub.

TensorRT-LLM has long been a critical tool for optimizing inference in models such as decoder-only architectures like Llama 3.1, mixture-of-experts models like Mixtral, and selective state-space ...

In order to overcome the drawback of decoder-only LLMs for text embedding, a team of researchers from Mila, McGill University, ServiceNow Research, and Facebook CIFAR AI Chair has proposed LLM2Vec, a ...