Fixing bugs and issues in code repositories can be challenging in software engineering. Imagine encountering a bug in a GitHub repository and not knowing how to fix it! While some solutions are available to help with this problem, they may not always be efficient or...

Robust benchmarks are indispensable tools in the arsenal of researchers, providing a rigorous framework for evaluating new methods across a diverse array of datasets. These benchmarks are pivotal in advancing the state-of-the-art, fostering innovation, and ensuring...

A deep Neural network is crucial in synthesizing photorealistic images and videos using large-scale image and video generative models. These models can be made into productive tools for humans through a critical step: adding control. This will empower generative...

The surge in artificial intelligence research has heralded a new era across various scientific domains, with the field of chemistry being no exception. The introduction of large language models (LLMs) has opened up unprecedented avenues for advancing chemical...

In today’s age, the accuracy of data plays a crucial role in determining the efficiency of artificial intelligence (AI) systems. Gretel has made a remarkable contribution to the field of AI by launching the most extensive and diverse open-source Text-to-SQL dataset....

In data science, linear models such as linear and logistic regression have long been celebrated for their straightforwardness and efficacy in drawing meaningful inferences from data. These models excel in scenarios where the relationship between input variables and...