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Recent advancements in language models reveal impressive capabilities for zero-shot voice conversion (VC) Nevertheless, conventional VC models that use language models usually involve offline conversion, which means they require the entirety of the source speech. This limits their suitability for real-time situations. Researchers from Northwestern Polytechnical University in China in conjunction with ByteDance have introduced StreamVoice,…

AI-powered deep fakes have blurred the boundaries between reality and fiction, altering images, videos, and audio recordings, and creating a problem in discerning authentic content from manipulated media. Distinguishing the real from fake is a growing challenge, raising serious concerns about potential impacts on democratic processes and public behavior. Here are some examples of AI…

A recent study by Canva and Sago, experts in design tools and quantitative research respectively, has found that almost half of job applicants utilize artificial intelligence (AI) to enhance their resumes. The study gathered data from 5,000 hiring managers and job seekers in regions including the US, UK, India, Germany, Spain, France, Mexico, and Brazil.…

Taking a new spin on art appreciation, what if we told you that you could generate your own wall art using Artificial Intelligence? This comes to reality with Midjourney's AI image generator which takes the descriptions you provide and converts them into visual art. Accessible through Discord and soon transitioning to its own platform, Midjourney…

Developing systems that can respond to user inputs, recollect past interactions and make informed decisions based on that history is key for building intelligent applications. These applications behave more like intelligent agents, maintaining a conversation, remembering past context, and making reasoned decisions. Currently, there are limited solutions to address this necessity comprehensively. Certain frameworks permit the…

The boom in Artificial Intelligence (AI) applications has resulted in the extensive use of Machine Learning (ML) models for various uses, introducing the rise of multimodal models. These models, which integrate numerous data sources like text and images, are gaining traction amongst researchers due to their ability to replicate the intricacy of human cognition. They…

Large-scale multilingual language models, pivotal in numerous cross-lingual and non-English Natural Language Processing (NLP) applications, pose possible limitations due to the concept of inter-language competition for model parameters, a phenomenon known as the curse of multilingualism. To address this, a team of researchers from the University of Washington, Charles University in Prague, and the Allen…

The efficiency of Reinforcement Learning from Human Feedback (RLHF) in language model alignment greatly depends on the quality of the underlying reward model. This reward model, which should accurately reflect human preferences, impacts the effectiveness of RLHF applications. However, modeling human preferences accurately can come with a high data collection cost. Researchers from ETH Zurich,…

Language models (LMs), like GPT-4, have revolutionized natural language processing with their capability to craft complex prose as well as solve intricate computational issues. Despite their advanced features, they sometimes yield unsatisfactory results, calling into question their precision and versatility. A crucial concern is their inconsistency and restricted ability when faced with diverse and intricate…

Artificial intelligence (AI), such as the immensely popular ChatGPT platform, has drastically changed our interaction with technology in the digital age. However, issues like the "ChatGPT login button not working" can be a significant setback. This guide will discuss various solutions to this problem to aid in enhancing your platform experience. A few reasons for the…

Recent AI-generated deep fake images of Taylor Swift have sparked a widespread discussion about the capacity of AI to create and spread false information. Microsoft CEO Satya Nadella voiced concerns over AI-generated fake nudes in an interview with NBC News, acknowledging the efforts to address deep fakes but calling for a global consensus on the…

The development of foundation models in Artificial Intelligence (AI), including Large Language Models (LLMs), Vision Transformers (ViTs), and multimodal models, is a landmark achievement. These models are valued for their adaptability and versatility, however, their expansive growth necessitates substantial resources, making their development and deployment resource-intensive. A principal challenge in utilizing these foundation models is their…