Large language models (LLMs) have given rise to Role-Playing Agents (RPAs), designed to simulate specific characters and interact with users or other characters. RPAs aim to provide emotional value and support sociological studies unlike AI productivity assistants, with applications ranging from emotional companions to digital replicas and social simulations. Their main objective is to offer…
Organizations face challenges when dealing with unstructured data from various sources like forms, invoices, and receipts. This data, often stored in different formats, is difficult to process and extract meaningful information from, especially at scale. Traditional methods for handling such data are either too slow, require extensive manual work, or are not flexible enough to…
The release of the HQQ Llama-3.1-70b by Mobius Labs, boasting 70 billion parameters, has been designed to enhance the capabilities in natural language processing (NLP), image recognition, and data analysis. Mobius Labs, known for its cutting-edge innovations, has positioned this model as a cornerstone in the next generation of AI technologies. HQQ Llama-3.1-70b represents a…
SQL is essential in today’s data-driven world, as it enables efficient management, retrieval, and analysis of data stored in databases. With the increasing reliance on data for decision-making, learning SQL is crucial for anyone looking to work in fields like data science, analytics, or engineering. Understanding SQL empowers you to interact with large datasets, derive…
Cross-lingual code cloning has become an important and difficult job due to the rising complexity of modern software development, where numerous programming languages are typically employed inside a single project. The term ‘cross-lingual code clone detection’ describes the process of finding identical or nearly identical code segments in several computer languages. Recent advances in Artificial…
To diagnose and cure cancer, pathologic examination of tissue is crucial. The digital versions of the old histological slides used for light microscopy are gradually replacing them with whole-slide images (WSIs). This allows computational pathology to transition from being used primarily as academic proof points to becoming routine tools in clinical practice. To aid in…
Accurate segmentation of structures like cells and organelles is crucial for deriving meaningful biological insights from imaging data. However, as imaging technologies advance, images’ growing size, dimensionality, and complexity present challenges for scaling existing machine-learning techniques. This is particularly evident in volume electron microscopy, such as focused ion beam-scanning electron microscopy (FIB-SEM) with near-isotropic capabilities.…
Healthcare artificial intelligence (AI) is rapidly advancing, with large language models (LLMs) emerging as powerful tools to transform various aspects of clinical practice. These models, capable of understanding and generating human language, are particularly promising in addressing complex medical queries, enhancing patient communication, and supporting clinical decision-making. However, while LLMs have shown remarkable potential across…
Integrating advanced educational technology has opened new avenues for enhancing teaching effectiveness, particularly using large language models (LLMs). These models are increasingly being explored as tools to assist educators, especially those new to teaching, in developing detailed and effective lesson plans. The application of LLMs in education is driven by the potential to generate tailored…
Large language models (LLMs) have made significant strides in various applications, but they continue to face substantial challenges in complex reasoning tasks. For instance, even advanced models like Mistral-7B can only achieve 36.5% accuracy on the GSM8K dataset, despite employing techniques such as Chain-of-Thought (CoT). While fine-tuning has shown promise in improving reasoning capabilities, most…