TextGrad is an innovative autograd engine, particularly tailored for textual gradients. As a robust framework, it facilitates automatic meticulously implements backpropagation using feedback provided by advanced Large Language Models (LLMs), firmly anchored in the gradient metaphor.
Many studies have shown that large language models can stimulate their ability to follow instructions and generalize on more tasks during the fine-tuning stage. However, if we only rely on manual handwritten instruction data, it will consume a lot of human resources, and the quantity is limited.Therefore, it is essential to explore other automatic methods for generating instruction data.
Prompt has always been a topic of controversy. While some consider it insignificant and lacking in technical substance, others regard it as the crux of effectively utilizing large language models. Learning how to use Prompt can unlock the vast potential of these models.
