What are the differences between how AI systems handle JavaScript-rendered or interactively hidden content compared to ...
The Register on MSN
IBM's AI agent Bob easily duped to run malware, researchers show
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).
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 ...
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 ...
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