Large Language Model
Large language models are advanced neural network architectures trained on vast amounts of text data to understand and generate human-like text.
Tag: Architecture
Adaptive Drafter
A lightweight draft model that is continuously trained on idle GPUs to align with the target model during long-tail response generation.
Adaptive Rollout Engine
A system that manages a memory-efficient pool of pre-captured CUDAGraphs and selects appropriate speculative decoding strategies for input batches.
DINO (Self-Distillation with No Labels)
DINO is a self-supervised learning framework that utilizes self-distillation to learn visual representations without labeled data.
Thinking-while-Generating
A framework that integrates textual reasoning dynamically during the visual generation process.
CLIP (Contrastive Language-Image Pretraining)
CLIP is a model that learns visual concepts from natural language descriptions, enabling it to understand images and text in a unified manner.
CLIP
CLIP is a model that learns visual concepts from natural language descriptions, enabling zero-shot transfer to various vision tasks.
Neural Network
A computational model inspired by biological neural networks
Transformer
A neural network architecture based on attention mechanisms
DINO
DINO is a self-supervised learning method that uses knowledge distillation to learn visual representations without labeled data.