Researchers from the University of Zurich evaluated the performance of Large Language Models (LLMs), specifically GPT-4, in autonomous fact-checking. While LLMs show promise in fact-checking with contextual information, their accuracy varies based on query language and claim veracity. Further research is needed to improve understanding of LLM capabilities and limitations in fact-checking tasks.

Researchers from Tsinghua University and ByteDance have developed SALMONN, a multimodal language model (LLM) that can recognize and comprehend various audio inputs, including voice, audio events, and music. They also propose a low-cost activation tuning technique to activate cross-modal emergent skills and reduce catastrophic forgetting. SALMONN performs well on a range of hearing tasks.

SELF-RAG is a framework that enhances large language models by dynamically retrieving relevant information and reflecting on its generations. It significantly improves quality, factuality, and performance on various tasks, outperforming other models. SELF-RAG is effective in open-domain question-answering, reasoning, fact verification, and long-form content generation. Further research and refinement can enhance output accuracy and address…

Artificial intelligence (AI) email assistants help users manage their inboxes more efficiently. They offer features like automatic task completion, message prioritization, and prompt responses. These AI assistants are beneficial for professionals with busy schedules, entrepreneurs, and students. Some popular AI email assistants include SaneBox, InboxPro, Lavender, Missive, Superflows, Superhuman, Scribbly, Tugan, AI Mailer, Nanonets, Flowrite,…

Researchers have introduced the Davidsonian Scene Graph (DSG), an automatic question generation and answering framework to evaluate text-to-image (T2I) models. DSG generates contextually relevant questions in dependency graphs for better semantic coverage and consistent answers. Experimental results demonstrate the effectiveness of DSG on various model configurations. The study emphasizes the need for further research into…

IBM has launched the Watsonx Code Assistant, an AI-powered tool that aims to help developers code quickly and accurately. The Code Assistant offers two models, one for IT automation and another for mainframe application modernization. It runs on IBM’s Watsonx platform, known for its security and compliance features. IBM Consulting is available to assist clients…

Large Language Models (LLMs) like GPT-3 have revolutionized Natural Language Processing. They demonstrate exceptional language recognition and excel in various areas such as reasoning, visual comprehension, and code development. LLMs possess broad understanding and can handle inputs and outputs beyond language. Researchers have proposed LLaRP, an approach using pre-trained LLMs to act as generalizable policies…