Definition
The ability of AI models to perform tasks they weren't explicitly trained on using only natural language instructions.
Detailed Explanation
Zero-shot learning enables AI systems to handle new tasks without any specific examples or additional training. This capability emerges from the model's pre-training on diverse datasets and its ability to understand and apply natural language instructions to new situations. The model leverages its general knowledge to interpret and execute previously unseen tasks.
Use Cases
Language translation classification tasks content analysis and adaptive problem-solving