In recent years, LMMs have rapidly expanded, leveraging CLIP as a foundational vision encoder for robust visual representations and LLMs as versatile tools for reasoning across various modalities. However, while LLMs have grown to over 100 billion parameters, the...

Graph Neural Networks (GNNs) are deep learning methods that operate on graphs and are used to perform inference on data described by graphs. Graphs have been used in mathematics and computer science for a long time and give solutions to complex problems by forming a...

Big Vision Language Models (VLMs) trained to comprehend vision have shown viability in broad scenarios like visual question answering, visual grounding, and optical character recognition, capitalizing on the strength of Large Language Models (LLMs) in general...

Mathematical reasoning in artificial intelligence represents a frontier that has long challenged researchers and developers. While effective for specific tasks, traditional computational methods often need to catch up when faced with the intricacies and nuances of...

February 16, 2024: OpenAI has revealed its latest innovation in generative artificial intelligence: Sora, an AI video generator that transforms text instructions into realistic and imaginative video clips. This is a significant leap forward in AI video generation,...

One of the most exciting developments in this field is the investigation of state-space models (SSMs) as an alternative to the widely used Transformer networks. These SSMs, distinguished by their innovative use of gating, convolutions, and input-dependent token...