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…
Researchers from Shanghai Jiaotong University, Shanghai AI Laboratory, and Nanyang Technological University's S-Lab have developed an advanced multi-modal large language model (MLLM) called MG-LLaVA. This new model aims to overcome the limitations of current MLLMs when interpreting low-resolution images.
The main challenge with existing MLLMs has been their reliance on low-resolution inputs which compromises their…
Large Language Models (LLMs) have demonstrated impressive performances in numerous tasks, particularly classification tasks, in recent years. They exhibit a high degree of accuracy when provided with the correct answers or "gold labels". However, if the right answer is deliberately left out, these models tend to select an option from the available choices, even when…
Generative AI (GenAI) is rapidly transforming industries such as healthcare, finance, entertainment, and customer service. The efficiency of GenAI systems by and large depends on the successful integration of four critical constituents: Human, Interface, Data, and large language models (LLMs).
Starting with the human element, it is fundamental for two reasons. Firstly, humans are the ones…
Generative AI (GenAI) has made significant impacts across various industries, including healthcare, finance, entertainment, and customer service, largely due to a successful integration of four key components: Human, Interface, Data, and Large Language Models (LLMs).
The human element is the most defining aspect of GenAI networks. Humans are not only the end-users of these systems,…
Companies often run into multiple vulnerabilities when they scan their code, which can take an average of three months to resolve. This slow process often leads to breaches, especially since 60% of businesses are aware of the unpatched vulnerability used. This process not only detracts from the firm's productivity but is also costly, costing between…
In recent times, the realm of artificial intelligence has undergone major improvements in image generation and enhancement methods, demonstrated by models like Stable Diffusion, Dall-E, and others. However, upscaling low-resolution images while preserving quality and detail remains a critical challenge. In response to this, researchers at Fal unveiled AuraSR, an innovative 600M parameter upsampler model…
Codestory, a team of researchers, has developed a new multi-agent coding framework known as Aide. Notably, Aide has achieved a 40.3% of accepted solutions on the SWE-Bench-Lite benchmark, which sets a new record in the field. This coding framework is designed to enhance productivity and facilitate easy integration into development environments.
Central to this software framework…