What are the differences between how AI systems handle JavaScript-rendered or interactively hidden content compared to ...
Prompt injection lets risky commands slip past guardrails IBM describes its coding agent thus: "Bob is your AI software ...
Abstract: Pre-trained vision-language (V-L) models such as CLIP have shown excellent generalization ability to downstream tasks. However, they are sensitive to the choice of input text prompts and ...
Given a task in the form of a basic description and its training examples, prompt optimization is the problem of synthesizing the given information into a text prompt for a large language model (LLM).
PDL is a declarative language designed for developers to create reliable, composable LLM prompts and integrate them into software systems. It provides a structured way to specify prompt templates, ...
Prompt engineering is the practice of writing clear, purposeful inputs that guide AI models to deliver accurate and context-aware outputs. It’s become a foundational skill across AI-assisted workflows ...
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 ...