In recent years, there has been a great inclination toward Large Language Models (LLMs) due to their amazing text generation, analysis, and classification capabilities. These models use billions of parameters to execute a variety of Natural Language Processing (NLP)...

Generative Artificial Intelligence (AI) has emerged as a transformative force across various domains, from art to content creation. This innovative technology utilizes machine learning algorithms to produce content autonomously, ranging from images and music to text...

AI Journey has started calling for papers about artificial intelligence and machine learning from researchers seeking to publish them in a scientific journal. April 15, 2024, Moscow Scientific papers about artificial intelligence (AI) and machine learning (ML) can now...

Pretrained language models (LMs) are commonly finetuned to adapt them to new domains or tasks, a process known as finetuning. While finetuning allows for adaptation to various functions with small amounts of in-domain data, it can be prohibitively expensive for large...

The role of technology must be to make the future brighter, but that’s not always the result of the innovations humanity has come up with over the centuries. With the climate crisis causing major concerns worldwide, the only way out of the current mess is through...

The absence of a standardized benchmark for Graph Neural Networks GNNs has led to overlooked pitfalls in system design and evaluation. Existing benchmarks like Graph500 and LDBC need to be revised for GNNs due to differences in computations, storage, and reliance on...