Introducing ChatGPT Team

Recent advancements in generative models for text-to-image (T2I) tasks have led to impressive results in producing high-resolution, realistic images from textual prompts. However, extending this capability to text-to-video (T2V) models poses challenges due to the complexities introduced by motion. Current T2V models face limitations in video duration, visual quality, and realistic motion generation, primarily due…

Well-known Large Language Models (LLMs) like ChatGPT and Llama have recently advanced and shown incredible performance in a number of Artificial Intelligence (AI) applications. Though these models have demonstrated capabilities in tasks like content generation, question answering, text summarization, etc, there are concerns regarding possible abuse, such as disseminating false information and assistance for illegal…

Machine translation, an integral branch of Natural Language Processing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models. Traditional translation models, primarily based on large language models (LLMs), perform well with languages abundant in data…

Powered by … Artificial Intelligence Weekly Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News The Best AI Image Generators of 2024 AI chatbots, like ChatGPT, have taken the world by storm because they can generate nearly any kind of text, including…

Enhancing the receptive field of models is crucial for effective 3D medical image segmentation. Traditional convolutional neural networks (CNNs) often struggle to capture global information from high-resolution 3D medical images. One proposed solution is the utilization of depth-wise convolution with larger kernel sizes to capture a wider range of features. However, CNN-based approaches need help…

With the growth of large language models, natural language processing has been revolutionized. Many LLMs, like GPT-3.5, LLaMA, and Mixtral, came up last year, which helped tackle diverse language tasks. Even though there are many such LLMs now, open-source models have no reliable models for translation tasks. Thorough research has been done to tackle this…