IEEE

Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Models

Abstract: Vision-language models (VLMs), such as CLIP, play a foundational role in various cross-modal applications. To fully leverage the potential of VLMs in adapting to downstream tasks, context ...

The Prompt Engineering Cheat Sheet: How to Write Better AI Prompts

Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more ...
CNBC

There's an 'art' to writing AI prompts for personal finance, MIT professor says

Many people are turning to artificial intelligence for personal finance advice. Writing a good AI prompt can mean the difference between receiving a reasonable or poor output, experts said. While AI ...
GitHub

Spring AI Alibaba Lynxe

Lynxe is a Java implementation of Manus, currently used in many applications within Alibaba Group. It is primarily used for handling exploratory tasks that require a certain degree of determinism, ...
The New York Times

U.S. Blocks Iranian-Linked Ships From Sailing Through the Strait of Hormuz

U.S. Central Command said that six vessels had complied with directions to turn around and re-enter an Iranian port. By Peter Eavis and Eric Schmitt The United States said on Tuesday that no ships had ...
Futurism

Sam Altman’s Coworkers Say He Can Barely Code and Misunderstands Basic Machine Learning Concepts

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...
IEEE

Distribution-Aware Prompt Learning for Vision-Language Models With Dynamic Boundary Prototype

Abstract: Prompt learning has emerged as an effective strategy for adapting vision-language models (VLMs) which injects learnable semantic prompts into VLMs to guide the alignment between visual and ...