Retrieval-augmented generation (RAG) has become a key technique in enhancing the capabilities of LLMs by incorporating external knowledge into their outputs. RAG methods enable LLMs to access ...

Multimodal Attributed Graphs (MMAGs) have received little attention despite their versatility in image generation. MMAGs represent relationships between entities with combinatorial complexity in a ...

Large Language Model (LLM)--based online agents have significantly advanced in recent times, resulting in unique designs and new benchmarks that show notable improvements in autonomous web navigation ...

Evaluating generative AI systems can be a complex and resource-intensive process. As the landscape of generative models evolves rapidly, organizations, researchers, and developers face significant ...

DeepSwap DeepSwap is an AI-based tool for anyone who wants to create convincing deepfake videos and images. It is super easy to create your content by ...

LLMs are advancing healthcare by offering new possibilities in clinical support, especially through tools like Microsoft’s BioGPT and Google’s Med-PaLM. Despite these innovations, LLMs in healthcare ...

Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as machine translation and question-answering. However, a ...

The field of multimodal artificial intelligence (AI) revolves around creating models capable of processing and understanding diverse input types such as text, images, and... Evaluating generative AI ...

The field of multimodal artificial intelligence (AI) revolves around creating models capable of processing and understanding diverse input types such as text, images, and... Evaluating generative AI ...