Abstract: This paper presents a novel approach for automatic prompt optimization (APO) using a large language model (LLM) as an optimizer, named Prompt Evolution Through Examples (PETE). The approach ...
Describe the solution you'd like? Today, AI support in Warp forces every interaction through a rigid investigate+understand, plan, execute loop using 3 agent personas. For many use cases, this is ...
A critical vulnerability in the popular expr-eval JavaScript library, with over 800,000 weekly downloads on NPM, can be exploited to execute code remotely through maliciously crafted input. The ...
Abstract: The main contribution of this work is a new approach to prompt injection detection in NLP, done by ensembling BERT with LSTMs on top of GloVe embeddings that enhance them. We first show the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results