LinkedIn is testing a new job-hunting tool that uses a custom large language model to comb through huge quantities of data to help people find prospective roles. The company believes that artificial intelligence will help users unearth new roles they might have missed in the typical search process. "The reality is, you don't find your dream job by checking a set of keywords," the company's CEO, Ryan Roslansky, told WIRED in a statement. The new tool, he says, "can help you find relevant jobs you never even knew to search for." The move comes as AI continues to change how people use the web.

Google Bard, a chatbot powered by Google's Language Model for Dialogue Applications (LaMDA), is an artificial intelligence (AI) tool intended to compete with ChatGPT. It offers services such as event planning, email drafting, and answering complex queries. After being made available to the public on 21st March 2023 users were permitted to sign up for a waitlist to access the service, which is currently free of charge. However, it is uncertain whether the chatbot will continue to be free of charge in the future. While Google Bard and ChatGPT are similar in certain aspects, they differ in significant ways.

Many applications in Multilingual and Multimodal Information Access involve searching large databases of high dimensional data objects with multiple (conditionally independent) views. In this work we consider the problem of learning hash functions for similarity search across the views for such applications. We propose a principled method for learning a hash function for each view given a set of multiview training data objects. The hash functions map similar objects to similar codes across the views thus enabling cross-view similarity search. We present results from an extensive empirical study of the proposed approach which demonstrate its effectiveness on Japanese language People Search and Multilingual People Search problems.