ElevenLabs, a pioneer in text-to-speech and artificial intelligence (AI) voice generation, has inked deals to use AI-generated voices of late movie stars in its Reader App. The firm has secured licensing rights from the estates of Judy Garland, James Dean, Burt Reynolds, and Sir Laurence Olivier. The app can convert articles, PDFs, e-books, ePub, newsletters,…
DigiXT's 'Data Product' is designed to automate the access and interpretation of data, thereby facilitating efficient and informed decision-making. This revolutionary product removes the dependency on tech expertise, and provides access to insightful data on demand for any business user.
The Data Product consists of three main components: the Storyboard, the Collaboration feature, and a…
Concept-based learning (CBL) is a machine learning technique that involves using high-level concepts derived from raw features to make predictions. It enhances both model interpretability and efficiency. Among the various types of CBLs, the concept-based bottleneck model (CBM) has gained prominence. It compresses input features into a lower-dimensional space, capturing the essential data and discarding…
Large Language Models (LLMs) like GPT-3.5 Turbo and Mistral 7B often struggle to maintain accuracy while retrieving information from the middle of long input contexts, a phenomenon referred to as "lost-in-the-middle". This complication significantly hampers their effectiveness in tasks requiring the processing and reasoning over long passages, such as multi-document question answering (MDQA) and flexible…
Safeguarding user interactions with Language Models (LLMs) is an important aspect of artificial intelligence, as these models can produce harmful content or fall victim to adversarial prompts if not properly secured. Existing moderating tools, like Llama-Guard and various open-source models, focus primarily on identifying harmful content and assessing safety but suffer from shortcomings such as…
Business data analysis is an essential tool in modern companies, extracting actionable insights from large datasets to help maintain a competitive edge through informed decision-making. However, the combination of traditional rule-based systems and AI models can present challenges, often leading to inefficiencies and inaccuracies.
Despite rule-based systems being recognized for their reliability and precision, they can…
Scientists from The Hong Kong University of Science and Technology, and the University of Illinois Urbana-Champaign, have presented ScaleBiO, a unique bilevel optimization (BO) method that can scale up to 34B large language models (LLMs) on data reweighting tasks. The method relies on memory-efficient training technique called LISA and utilizes eight A40 GPUs.
BO is attracting…
In the modern era, businesses must process large volumes of transactions quickly and effectively. Online Transaction Processing (OLTP) systems are a solution, built to handle vast numbers of straightforward and quick transactions like online banking, retail sales, and order entry. Despite their intended usage, traditional OLTP systems are often hampered by write contention which occurs…
After a successful call for proposals on AI studies in the summer, MIT issued a second call for papers that resulted in 53 submissions. Subsequently, 16 of these were selected to receive exploratory funding. The selected proposals offer insights and perspectives on the potential impact of AI across various domains.
The MIT President, Sally Kornbluth, and…
Amazon's new product, Amazon Q Business, is a robust, artificially intelligent assistant capable of analyzing various types of documents such as receipts, health plans, tax statements, and more from industries like finance, insurance, healthcare, and life sciences. Unlike other software, Amazon Q Business eliminates the need to extract text from scanned PDF documents before it…