Sitemap, API and other feed

The emergence of large language models (LLMs) like PaLM has revolutionized natural language processing, achieving unprecedented parameter sizes. However, the challenge of colossal model sizes overwhelming GPUs led to the development of Fuyou by Zhejiang University…

Contextual AI’s RAG 2.0 introduces cutting-edge Contextual Language Models (CLMs) setting a new benchmark in AI performance. CLMs excel in understanding and generating human-like text, offering profound implications for businesses and the AI research community. However,…

Introduction to TimeMarker Large language models (LLMs) have evolved into multimodal large language models (LMMs), especially for tasks involving both vision and language. Videos are rich in information and essential for understanding real-world situations. However, current…

Streamline Your Ideation Process with AI Ideation can be slow and complex. Imagine if two AI models could generate ideas and debate them. This tutorial shows you how to create an AI solution using two LLMs…

Practical AI Solutions for 3D Scene Generation Revolutionizing 3D Scene Generation with LayerPano3D Recent advancements in AI and deep learning have transformed 3D scene generation, impacting various fields from entertainment to virtual reality. However, existing methods…

Enhancing Large Multimodal Models for Long Video Sequences Addressing the Challenge The challenge of effectively processing and understanding long videos in large multimodal models (LMMs) arises from the high volume of visual tokens generated by vision…

AWS recognizes the transformative potential of AI and emphasizes responsible use through collaboration with customers and adherence to ISO 42001. The international standard provides guidelines for managing AI systems within organizations, promoting responsible AI practices. AWS…

Researchers from the University of California Santa Barbara, Carnegie Mellon University, and Meta AI propose a novel approach, FNCTOD, integrating Large Language Models (LLMs) into task-oriented dialogues. It treats each dialogue domain as a distinct function,…

AgentScope is a pioneering multi-agent platform introduced by researchers from Alibaba Group, aiming to simplify multi-agent application development. It leverages message exchange and rich syntactic tools, offering robust fault tolerance and exceptional support for multi-modal data.…

The text provides an overview of transformer models like ChatGPT and their impact on Generative AI. It discusses the complexity, functioning, and challenges faced by large language models (LLMs) in understanding and generating language. It also…

Introduction to Large Language Models (LLMs) Large Language Models (LLMs) play a crucial role in areas that require understanding context and making decisions. However, their high computational costs limit their scalability and accessibility. Researchers are working…

Introducing Allegro-TI2V by Rhymes AI Rhymes AI has released Allegro-TI2V, an advanced model for generating videos from text and images. This innovative tool is set to change how visual content is created, offering powerful solutions for…

Discover Kolmogorov-Arnold Networks (KANs) Enhancing Interpretability and Accuracy in Deep Learning Explore how KANs offer a compelling alternative to MLPs, leveraging mathematical concepts to enhance interpretability and accuracy in deep learning. With ongoing research aiming to…

Practical Solutions for AI Hardware Development Energy Efficiency and Computational Speed Traditional computing systems face limitations in energy efficiency and computational speed. New hardware architectures are needed for complex tasks like AI model training. Current Challenges…

An AI chatbot called Limbic Access has effectively increased patient referrals for mental-health services in England’s NHS, particularly among underrepresented groups. A study in Nature Medicine found that referrals rose by 15% when the chatbot was…

Revolutionizing Deep Model Fusion: Introducing Sparse Mixture of Low-rank Experts (SMILE) for Scalable Model Upscaling The training of large-scale deep models on broad datasets is becoming more and more costly in terms of resources and environmental…

The Ouroboros framework revolutionizes Large Language Models (LLMs) by addressing their critical limitation of inference speed. It departs from traditional autoregressive methods and offers a speculative decoding approach, accelerating inference without compromising quality. With speedups of…

Revolutionizing Wireless Communication with Machine Learning Machine Learning (ML) is transforming wireless communication systems, improving tasks like modulation recognition, resource allocation, and signal detection. However, as we rely more on ML, the risk of adversarial attacks…