Sound is indispensable for enriching human experiences, enhancing communication, and adding emotional depth to media. While AI has made significant progress in various domains, incorporating sound in video-generating models with the same sophistication and nuance as human-created content remains challenging. Producing scores for these silent videos is a significant next step in making generated films.…
In recent research, the Institute for Natural Language Processing (IMS) at the University of Stuttgart, Germany, has introduced ToucanTTS, significantly advancing the field of text-to-speech (TTS) technology. With support for speech synthesis in more than 7,000 languages, this new toolset is capable of completely transforming the field of multilingual TTS systems. ToucanTTS is an advanced…
Natural language processing has greatly improved language model finetuning. This process involves refining AI models to perform specific tasks more effectively by training them on extensive datasets. However, creating these large, diverse datasets is complex and expensive, often requiring substantial human input. This challenge has created a gap between academic research, which typically uses smaller…
A significant challenge in the field of Information Retrieval (IR) using Large Language Models (LLMs) is the heavy reliance on human-crafted prompts for zero-shot relevance ranking. This dependence requires extensive human effort and expertise, making the process time-consuming and subjective. Additionally, the complexities involved in relevance ranking, such as integrating query and long passage pairs…
Materials science focuses on studying and developing materials with specific properties and applications. Researchers in this field aim to understand the structure, properties, and performance of materials to innovate and improve existing technologies and create new materials for various applications. This discipline combines chemistry, physics, and engineering principles to address challenges and improve materials used…
Advances in vision-language models (VLMs) have shown impressive common sense, reasoning, and generalization abilities. This means that developing a fully independent digital AI assistant, that can perform daily computer tasks through natural language is possible. However, better reasoning and common-sense abilities don’t automatically lead to intelligent assistant behavior. AI assistants are used to complete tasks,…
Long-context language models (LCLMs) have emerged as a promising technology with the potential to revolutionize artificial intelligence. These models aim to tackle complex tasks and applications while eliminating the need for intricate pipelines that were previously necessary due to context length limitations. However, the development and evaluation of LCLMs face significant challenges. Current evaluation methods…
In the era of vast data, information retrieval is crucial for search engines, recommender systems, and any application that needs to find documents based on their content. The process involves three key challenges: relevance assessment, document ranking, and efficiency. The recently introduced Python library that implements the BM25 algorithm, BM25S addresses the challenge of efficient…
Factory AI has released its latest innovation, Code Droid, a groundbreaking AI tool designed to automate and accelerate software development processes. This release signifies a significant advancement in artificial intelligence and software engineering. Introduction to Code Droid Code Droid is an autonomous system engineered to execute various coding tasks based on natural language instructions. Its…
Ensuring the safety and ethical behavior of large language models (LLMs) in responding to user queries is of paramount importance. Problems arise from the fact that LLMs are designed to generate text based on user input, which can sometimes lead to harmful or offensive content. This paper investigates the mechanisms by which LLMs refuse to…