Chain-of-Thought (CoT) Prompting: A Comprehensive Analysis Reveals Limited Effectiveness Beyond Math and Symbolic Reasoning

Practical AI Solutions for Text Data Extraction Introduction In today’s digital age, processing vast amounts of unstructured text data can be challenging. Manual efforts and traditional tools often fall short in understanding context and producing accurate…

Forecasting Sustainable Development Goals (SDG) Scores by 2030 Practical Solutions and Value The Sustainable Development Goals (SDGs) aim to eradicate poverty, protect the environment, combat climate change, and ensure peace and prosperity by 2030. This study…

‘Large language models’ (LLMs) have gained prominence in the field of artificial intelligence and generative AI. This article discusses the collection methods and use cases of LLM data, projecting its significance in 2023. AIMultiple provides tools…

ASEAN countries are opting for a less rigid and business-friendly approach to AI regulation, in contrast to the EU’s AI Act. The Association of Southeast Asian Nations is set to publish guidelines for AI ethics and…

QB-GPT is a model that can generate football plays based on provided elements. It aims to recreate plays from minimal information to understand how player setups and contextual elements affect team paths on the field. The…

Researchers have created an AI that can rapidly and intelligently design robots without relying on human-labeled datasets. This AI compresses billions of years of evolution into seconds, operates on a lightweight computer, and generates completely new…

TOWER, an innovative open-source multilingual Large Language Model, addresses the increasing demand for effective translation across languages. Developed through collaborative efforts, it encompasses a base model trained on extensive multilingual data and a fine-tuning phase for…

Large language models (LLMs) in artificial intelligence, such as GPT-4, enable autonomous agents to perform complex tasks with precision but struggle to learn from failure. A team of researchers introduced Exploration-based Trajectory Optimization (ETO), which broadens…

Understanding Direct Q-Function Optimization (DQO) Aligning large language models (LLMs) with human preferences is crucial in AI research. Traditional reinforcement learning (RL) methods, like Proximal Policy Optimization (PPO), often require a lot of online sampling, leading…

Carnegie Mellon University and Google DeepMind collaborated to develop RoboTool, a system using Large Language Models to enable robots to creatively use tools in tasks with physical constraints and planning. It comprises four components and leverages…

Transforming Work with Agentic AI Systems Agentic AI systems are changing how we automate tasks and achieve goals across various sectors. Unlike traditional AI, these systems can adapt to pursue complex goals over time with little…

Understanding the Challenge of Causal Driver Reconstruction Reconstructing unknown factors that influence complex time series data is a significant challenge in many scientific fields. These hidden factors, such as genetic influences or environmental conditions, are vital…

Researchers at Google have developed SANPO, a large-scale video dataset for human egocentric scene understanding. The dataset contains over 600K real-world and 100K synthetic frames with dense prediction annotations. SANPO includes a combination of real and…

Image-text alignment models aim to connect visual content and textual information, but aligning them accurately is challenging. Researchers from Tel Aviv University and others developed a new approach to detect and explain misalignments. They introduced ConGen-Feedback,…

Introduction to Portrait Mode Effect Have you ever noticed how smartphone cameras create a beautiful background blur while keeping the main subject in focus? This effect, known as “portrait mode,” mimics the professional look of DSLR…

Researchers at Los Alamos National Laboratory have developed a new artificial intelligence (AI) approach called Senseiver that allows for efficient data processing. Senseiver uses a neural network to represent extensive data with minimal computational resources, reducing…

Transform Your Business with AI Artificial Intelligence (AI) is changing the way businesses operate, bringing efficiency, innovation, and improved customer satisfaction. By automating repetitive tasks and analyzing large datasets, AI helps businesses make better decisions. From…

Advancements in AI Language Models The rise of large language models (LLMs) has transformed many industries by automating tasks and enhancing research. However, challenges like proprietary models limit access and transparency. Open-source options struggle with efficiency…