​We study the problem of private vector mean estimation in the shuffle model of privacy where nnn users each have a unit vector in ddd dimensions. We propose a new multi-message protocol that achieves the optimal error using O~(min⁡(nε2,d))tilde{mathcal{O}}left(min(nvarepsilon^2,d)right)O~(min(nε2,d)) messages per user. Moreover, we show… Read More »Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages Apple Machine Learning Research

​We introduce MIA-Bench, a new benchmark designed to evaluate multimodal large language models (MLLMs) on their ability to strictly adhere to complex instructions. Our benchmark comprises a diverse set of 400 image-prompt pairs, each crafted to challenge the models’ compliance with layered instructions in generating… Read More »MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs Apple Machine Learning Research

​[[{“value”:” With recent technological advancements, search engines have significantly improved. An Artificial Intelligence (AI) search engine improves user experience by comprehending user queries at a deeper level than just matching keywords. In order to understand and react to search inputs more accurately and individually, these… Read More »Top Artificial Intelligence AI Search Engines to Know in 2024 Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement Learning (RL) excels at tackling individual tasks but struggles with multitasking, especially across different robotic forms. World models, which simulate environments, offer scalable solutions but often rely on inefficient, high-variance optimization methods. While large models trained on vast datasets have advanced generalizability in… Read More »Policy Learning with Large World Models: Advancing Multi-Task Reinforcement Learning Efficiency and Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” InternLM has unveiled its latest advancement in open large language models, the InternLM2.5-7B-Chat, available in GGUF format. This model is compatible with llama.cpp, an open-source framework for LLM inference, can be utilized locally and in the cloud across various hardware platforms. The GGUF format… Read More »InternLM2.5-7B-Chat: Open Sourcing Large Language Models with Unmatched Reasoning, Long-Context Handling, and Enhanced Tool Use Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers from the University of Toronto present an insightful examination of the advanced algorithms used in modern ad and content recommendation systems. These systems drive user engagement and revenue generation in digital platforms. It explores various retrieval algorithms and their applications in ad targeting… Read More »A Survey of Advanced Retrieval Algorithms in Ad and Content Recommendation Systems: Mechanisms and Challenges Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have gained significant attention for their impressive performance across various tasks, from summarizing news to writing code and answering trivia questions. Their effectiveness extends to real-world applications, with models like GPT-4 successfully passing legal and medical licensing exams. However, LLMs… Read More »WorldBench: A Dynamic and Flexible LLM Benchmark Composed of Per-Country Data from the World Bank Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) now support very long context windows, but the quadratic complexity of standard attention results in significantly prolonged Time-to-First-Token (TTFT) latency. Existing methods to tackle this complexity require extra pretraining or finetuning and often compromise model accuracy. The quadratic nature of… Read More »Accelerating LLM Inference: Introducing SampleAttention for Efficient Long Context Processing Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, advancements in robotic technology have significantly impacted various fields, including industrial automation, logistics, and service sectors. Autonomous robot navigation and efficient data collection are crucial aspects that determine the effectiveness of these robotic systems. Based on the content of two detailed… Read More »Autonomous Robot Navigation and Efficient Data Collection: Human-Agent Joint Learning and Reinforcement-Based Autonomous Navigation Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In 2024, the landscape of customer service is undergoing a profound transformation, largely driven by the advancements in artificial intelligence (AI). Among these advancements, OpenAI’s ChatGPT has become a pivotal tool in revolutionizing how businesses interact with customers. This innovative technology enhances customer experiences… Read More »How ChatGPT is Revolutionizing Customer Service in 2024 Sana Hassan Artificial Intelligence Category – MarkTechPost