Recent advancements in large language models (LLMs) and Multimodal Foundation Models (MMFMs) have spurred interest in large multimodal models (LMMs). Models like GPT-4, LLaVA, and their derivatives have shown remarkable performance in vision-language tasks such as...

Google Colab, short for Google Colaboratory, is a free cloud service that supports Python programming and machine learning. It’s a dynamic tool that enables anyone to write and execute Python codes on a browser. This platform is favored for its zero-configuration...

Large Language models (LLMs) have demonstrated exceptional capabilities in generating high-quality text and code. Trained on vast collections of text corpus, LLMs can generate code with the help of human instructions. These trained models are proficient in translating...

Creating deep learning architectures requires a lot of resources because it involves a large design space, lengthy prototyping periods, and expensive computations related to at-scale model training and evaluation. Architectural improvements are achieved through an...

The evolution of large language models (LLMs) marks a transition toward systems capable of understanding and expressing languages beyond the dominant English, acknowledging the global diversity of linguistic and cultural landscapes. Historically, the development of...

In deep learning, a unifying framework to design neural network architectures has been a challenge and a focal point of recent research. Earlier models have been described by the constraints they must satisfy or the sequence of operations they perform. This dual...