5/ 🤖 Key Techniques Zero-shot:Leveraging pre-trained models like GPT-4 or CLIP. Using embeddings or knowledge graphs to bridge unseen classes. Few-shot:Fine-tuning pre-trained models. Meta-learning frameworks like MAML. #AI #ML

4/ 🔄 How They Work Zero-shot: Relies on pre-trained embeddings or semantic mappings to infer relationships. Ex: "Classify images of animals you've never seen using textual descriptions of their features." Few-shot: Uses meta-learning or prompt-tuning to adapt quickly with data

2/ What is Zero-shot Learning (ZSL)? ZSL enables models to perform tasks they weren’t explicitly trained on. The model leverages prior knowledge and generalizes to unseen classes or tasks using semantic relationships. #ZeroShotLearning #AI