MinerU: An Open-Source PDF Data Extraction Tool

OpenAI CEO Sam Altman visited South Korea to meet with top Samsung Electronics and SK Group executives as part of efforts to bring AI chip production in-house. With plans to raise funds for chip fabrication plants…

Amazon has launched the AI shopping assistant Rufus, offering a conversational shopping experience based on vast product data as well as user reviews and Q&A data. Rufus provides personalized shopping recommendations and answers product queries. Its…

Advancements in LLMs and Their Challenges Large Language Models (LLMs) are transforming research and development, but their high costs make them hard to access for many. A key challenge is reducing latency in applications that require…

Google DeepMind recently created AlphaGeometry, an AI system combining a language model and a symbolic engine to solve complex geometry problems, demonstrating progress in AI reasoning skills. However, human understanding of technology is crucial to harness…

Artificial intelligence (AI) is increasingly being integrated into the field of mental health, given the prevalence of technology in our lives. As we strive to keep up with the demands of a fast-paced world, the relationship…

Researchers from Northeastern University have discovered a neural mechanism in autoregressive transformer language models called function vectors (FVs). These FVs capture input-output functions and remain consistent across different contexts, allowing for task execution in zero-shot and…

Anthropic’s Model Context Protocol (MCP) Anthropic has open-sourced the Model Context Protocol (MCP), a significant advancement in how AI systems connect with real-world data. MCP provides a universal standard that simplifies the integration of AI with…

XGen-MM: A Series of Large Multimodal Models (LMMS) Developed by Salesforce AI Research If you want to evolve your company with AI, stay competitive, and use XGen-MM: A Series of Large Multimodal Models (LMMS) Developed by…

Understanding Large Language Models (LLMs) Large Language Models (LLMs) are powerful tools, but we need to evaluate them based on their ability to make decisions in real or digital environments. Current research shows that there is…

Addressing Challenges in Trustworthiness Reasoning in Multiplayer Games Traditional Approaches Struggle in Dynamic Environments Assessing trust in multiplayer games with incomplete information is challenging. Current methods relying on pre-trained models lack real-time adaptability and struggle in…

Researchers from the University of Washington and Google have developed a new technology called “Distilling Step-by-Step” to train small machine learning models with less data. This approach involves extracting informative natural language rationales from large language…

Understanding the Target Audience The primary audience for this tutorial includes AI developers, business analysts, and product managers interested in leveraging AI to enhance business operations. Typically, these professionals are tech-savvy and possess a solid understanding…

Graph Learning: Addressing the Challenges with AnyGraph Practical Solutions and Value Graph learning is crucial for various domains like social networks, transportation systems, and biological networks. AnyGraph is a versatile model designed to handle the diversity…

Retrieval-augmented generation (RAG) in Artificial Intelligence RAG is a cutting-edge AI technique that combines retrieval-based approaches with generative models to create high-quality, contextually relevant responses by leveraging vast datasets. It significantly improves the performance of virtual…

Understanding Deep Neural Networks (DNNs) Deep Neural Networks (DNNs) are advanced artificial neural networks with multiple layers of interconnected nodes, known as neurons. They consist of an input layer, several hidden layers, and an output layer.…

Understanding RNA Regulation with AI Challenges in RNA Data Despite having a lot of genomic data, we still need to understand the RNA regulatory code better. Current genomic models use techniques from other fields but lack…

A team has surveyed algorithmic enhancements for large language models (LLMs), covering aspects like scaling, data optimization, architecture, strategies, and techniques to improve efficiency. Highlighting methods like knowledge distillation and model compression, the study is a…

Summary: Domestic Data Streamers, led by Pau Garcia, uses generative image models to create synthetic memories like a childhood balcony view and a dance hall, aiming to preserve personal histories. The technique may aid dementia treatment.…