Contrastive loss is a type of loss function used in machine learning to learn by comparing pairs of examples. It aims to ensure that similar examples are closer together and dissimilar examples are farther apart in the learned representation space.
User's Guide to AI
Understanding LLMs, image generation, prompting and more.
© 2024 User's Guide to AI
[email protected]Our Mission
Advance your understanding of AI with cutting-edge insights, tools, and expert tips.