In computational linguistics, much research focuses on how language models handle and interpret extensive textual data. These models are crucial for tasks that require identifying and extracting specific information from large volumes of text, presenting a considerable challenge in ensuring accuracy and efficiency. A critical challenge in processing extensive text data is the model’s ability… →

As businesses increasingly rely on data-driven decision-making, the ability to extract insights and derive value from data has become quite essential. Acquiring skills in data science enables professionals to unlock new opportunities for innovation and gain a competitive edge in today’s digital age. This article lists the top data science courses one should take to… →

A group of researchers in France introduced Dr.Benchmark to address the need for the evaluation of masked language models in French, particularly in the biomedical domain. There have been significant advances in the field of NLP, particularly in pre-trained language models (PLMs), but evaluating these models remains difficult due to variations in evaluation protocols. The… →

In recent times, contrastive learning has become a potent strategy for training models to learn efficient visual representations by aligning image and text embeddings. However, one of the difficulties with contrastive learning is the computation needed for pairwise similarity between image and text pairs, especially when working with large-scale datasets. In recent research, a team… →

Text-to-image (T2I) models are central to current advances in computer vision, enabling the synthesis of images from textual descriptions. These models strive to capture the essence of the input text, rendering visual content that mirrors the intricacies described. The core challenge in T2I technology lies in the model’s ability to accurately reflect the detailed elements… →

While 55% of organizations are experimenting with generative AI, only 10% have implemented it in production, according to a recent Gartner poll. LLMs face a major obstacle in transitioning to production due to their tendency to generate erroneous outputs, termed hallucinations. These inaccuracies hinder their utilization in applications requiring correct results. Instances like Air Canada’s… →