Use the implementations of current prompt-learning approaches.* We have implemented various of prompting methods, including templating, verbalizing and optimization strategies under a unified standard ...

Security researchers have warned the users about the increasing risk of prompt injection attacks in the AI browsers.

Luckily, Eurostar did not connect its customer information database with the chatbot, so at the time of discovery, there was ...

If you like this project, I encourage you to fork it and help me work on it! If you really like this project, please hire me to write more python for you. Just don't ...

Abstract: Weakly supervised video anomaly detection aims to locate abnormal activities in untrimmed videos without the need for frame-level supervision. Prior work has utilized graph convolution ...

When ChatGPT arrived in late 2022, it kicked off an AI boom that hasn't stopped since and showed how powerful natural-language tools could be. Since then, we've seen chatbots, copilots and AI agents ...

Leveraging the extensive training data from SA-1B, the segment anything model (SAM) demonstrates remarkable generalization and zero-shot capabilities. However, as a category-agnostic instance ...

Anyone who uses AI systems knows the frustration: a prompt is given, the response misses the mark, and the cycle repeats. This trial-and-error loop can feel ...

Prompt engineering is a challenging yet crucial task for optimizing the performance of large language models on customized tasks. It requires complex reasoning to examine the model’s errors, ...

Cybersecurity researchers are calling attention to a new campaign dubbed JS#SMUGGLER that has been observed leveraging compromised websites as a distribution vector for a remote access trojan named ...