With the growing complexity of large language models (LLMs), making them easily runnable on everyday hardware is a notable challenge. This need is apparent for individuals and organizations that seek the benefits of LLMs without the high cost or technical barrier...

In document processing, particularly visually rich documents (VRDs), the need for efficient information extraction (IE) has become increasingly critical. VRDs, such as invoices, utility bills, and insurance quotes, are ubiquitous in business workflows, often...

Global feature effects methods, such as Partial Dependence Plots (PDP) and SHAP Dependence Plots, have been commonly used to explain black-box models by showing the average effect of each feature on the model output. However, these methods fell short when the model...

Artificial intelligence has witnessed remarkable advancements, with large language models (LLMs) emerging as fundamental tools driving various applications. However, the excessive computational costs of training these LLMs have created barriers, limiting accessibility...

In an era when data is as valuable as currency, many industries face the challenge of sharing and augmenting data across various entities without breaching privacy norms. Synthetic data generation allows organizations to circumvent privacy hurdles and unlock the...

API (Application Programming Interface) strategies are pivotal in effective database management and integration. In today’s fast-paced digital landscape, where organizations operate across various databases and applications, seamlessly integrating these components is...