Shanghai AI Lab Presents HuixiangDou: A Domain-Specific Knowledge Assistant Powered by Large Language Models (LLM)

A new technique called Meta-learning for Compositionality improves the capability of tools like ChatGPT to make compositional generalizations. It surpasses current methods and even matches or exceeds human performance in some cases.

Understanding Multimodal Large Language Models (MLLMs) Multimodal large language models (MLLMs) are cutting-edge systems that understand various types of input like text and images. They aim to solve tasks by reasoning and providing accurate results. However,…

QuData has launched an AI-powered breast cancer diagnostic system, offering early detection and prompt intervention. This innovative technology marks a significant advancement in accessible, accurate, and timely treatment, leading to improved outcomes.

Generative AI, driven by OpenAI’s ChatGPT, is revolutionizing businesses with its potential in content creation, translation, and more. Executives foresee AI-driven disruptions, but face challenges including insufficient IT capabilities and non-IT factors such as regulatory risks…

Understanding Intuitive Physics in AI Humans naturally understand how objects behave, such as not expecting sudden changes in their position or shape. This understanding is seen even in infants and animals, supporting the idea that humans…

Reinforcement Learning for Large Language Models Challenges with Traditional Methods Traditional reinforcement learning (RL) for large language models (LLMs) uses outcome-based rewards, giving feedback only on the final results. This approach creates difficulties for tasks that…

According to Bill Gates, Generative AI like ChatGPT has reached its peak and may not see significant improvements, even with the release of GPT-5. However, Gates acknowledges that he could be wrong. He believes AI will…

Practical Business Solutions for Disaster Management Using AI Leveraging AI for Disaster Management In this article, we will discuss the innovative application of IBM’s open-source ResNet-50 deep learning model for rapid classification of satellite imagery, specifically…

Researchers from Peking University, Meituan, Meta AI, National Key Laboratory of General Artificial Intelligence, BIGAI, and Renmin University of China have introduced a compression paradigm called Retrieval-based Knowledge Transfer (RetriKT). This approach aims to efficiently transfer…

The Travel Trends AI Summit, taking place on February 21-22, 2024, will explore the profound impact of AI on the travel industry. Leading experts, including representatives from Microsoft and Deloitte, will share insights on leveraging AI…

Introduction to OmniThink OmniThink is a new machine-writing framework that improves the quality of long-form articles by mimicking human thinking processes. It addresses common issues in automated writing, such as repetitive and shallow content. Key Features…

Top Large Language Models LLMs Courses Introduction to Large Language Models This course covers large language models (LLMs), their use cases, and how to enhance their performance with prompt tuning. It also includes guidance on using…

Understanding Large-Sample Hydrology Large-sample hydrology plays a vital role in tackling global issues like climate change, flood forecasting, and water management. Researchers analyze extensive hydrological and meteorological data to create models that help predict water-related events.…

Introduction to OceanSim: Transforming Underwater Robotics Simulation The University of Michigan has developed OceanSim, a cutting-edge underwater simulation platform that utilizes high-performance GPU acceleration. This simulator is designed to enhance marine robotics applications, such as marine…

Revolutionizing Vision-Language Tasks with Sparse Attention Vectors Overview of Generative Large Multimodal Models (LMMs) Generative LMMs, like LLaVA and Qwen-VL, are great at tasks that combine images and text, such as image captioning and visual question…

Challenges in Video Processing Breaking down long videos into smaller, meaningful parts for vision models is difficult. Vision models need these smaller parts, called tokens, to understand video data, but creating them efficiently is a challenge.…

LLama.cpp is an open-source library designed to efficiently deploy large language models (LLMs). It optimizes inference speed and reduces memory usage through techniques like custom integer quantization, multi-threading, and batch processing, achieving remarkable performance. With cross-platform…