TwiG-GRPO strategy
A customized reinforcement learning strategy tailored for the TwiG framework.
Category: Concepts
Speculative Decoding
A decoding strategy that generates multiple potential outputs in parallel to improve efficiency and reduce latency in response generation.
Zero-shot prompting
A technique that generates outputs without any prior examples or training on specific tasks.
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.
Forward Pass
The process of passing input data through a neural network to obtain output predictions.
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.
Matrix Perturbation
The process of adding a small random matrix to another matrix to explore the solution space in optimization problems.
Evolution Strategies
A family of black-box optimization methods that utilize evolutionary algorithms to optimize complex functions, particularly useful for non-differentiable or noisy objectives.
Low-rank Learning
A method that approximates high-dimensional matrices using low-rank representations to reduce computational and memory costs.