Mini toolsDefinition
Fine-tuning models on instruction/output examples to improve command following and zero/few-shot task performance.
Detailed Explanation
A fine-tuning method where models are trained on examples of instructions and their desired outputs, improving their ability to follow natural language commands and perform zero-shot or few-shot tasks.
Use Cases
Improving chatbot responsiveness, enhancing LLMs ability to follow complex commands, creating models better suited for general-purpose assistance, boosting performance on unseen tasks.
