However, the relationship between GR and downstream tasks, as well as the potential of LLMs in GR, remains unexplored. In this paper, we present a unified language model that utilizes external corpus to handle various knowledge-intensive tasks by seamlessly integrating generative retrieval, closed-...
While many fear their negative impact, AI technologies can also be viewed as a different set of tools in the arsenal of architects and designers. As revolutionary as they are, there is a plethora of applications and platforms being developed not to replace, but to aid, offload repetitive ...
In recent years, the rapid advancement of technology has revolutionized various industries, and the consumer electronics sector is no exception. One of the most prominent and influential technologies is Artificial Intelligence (AI) and Machine Learning (ML) development. AI-powered technology, dr...
In this article Generative AI on Databricks Machine learning on Databricks Deep learning on Databricks Next steps This article describes the tools that Mosaic AI (formerly Databricks Machine Learning) provides to help you build AI and ML systems. The diagram shows how various products on Databricks ...
Train initial ML model on original dataset. Utilize this model to diagnose data issues (via cleanlab methods) and improve the dataset. Train the same model on the improved dataset. Try various modeling techniques to further improve performance. ...
In recent years, thanks to the big data obtained from the real world, the rapidly increased computation capacity and continuously-evolved algorithms, DNNs have become the most popular ML models for many AI applications. The performance of DNNs is gained at the cost of high computational complexity...
It details the utility of UAV-enabled MEC architecture regarding emerging IoT applications and the role of both deep learning (DL) and machine learning (ML) in meeting various limitations related to latency, task offloading, energy demand, and security. Furthermore, throughout this article, the ...
This editorial showcase aims at providing a snapshot of the current tools and challenges that are currently holding the promise to change lives in several ways. Herein, we also highlight research on the underlying pursuit of developing the concept of Artificial Intelligence....
Machine Learning in Active Power Filters AI AIis an international,peer-reviewed, open access journal on artificial intelligence (AI), including broad aspects of cognition and reasoning, perception and planning, machine learning, intelligent robotics, and applications of AI, published monthly online by ...
However, following a human-centered design approach to build transparent ML systems for highly specialized and high stakes domains, such as healthcare, is challenging. The barriers are diverse and include: (1) the high knowledge mismatch between ML developers and the varied stakeholders in medicine...