Australian academics apologize for false AI-generated claims

MeetKai, an influential player in conversational AI, introduced Functionary, an open-source language model for function calling. In contrast to larger models like GPT-4, Functionary offers faster, more cost-effective inference with high accuracy. It seamlessly integrates with…

Google DeepMind has developed GraphCast, an AI tool that revolutionizes weather forecasting. Operating efficiently on a desktop computer, GraphCast utilizes historical weather data to accurately predict future weather conditions up to 10 days in advance, outperforming…

Researchers have made a breakthrough in data science and AI by combining interpretable machine learning models with large language models. The fusion improves the usability of complex data analysis tools, allowing for better comprehension and interaction…

The article discusses using a Graph Neural Network (GNN) approach to build a content recommendation engine. It explains GNN concept, graph data structures, and their application using PyTorch Geometric. The article then details the process of…

Generalist AI systems have made significant progress in computer vision and natural language processing, benefitting various applications. However, the lack of physical and spatial reasoning in these systems limits their full potential. Google DeepMind’s BootsTAP method…

Practical Solutions and Value of Addressing Prompt Leakage in Large Language Models (LLMs) Overview Large Language Models (LLMs) face a critical security challenge known as prompt leakage, allowing malicious actors to extract sensitive information. This poses…

This article provides an introduction to Convolutional Neural Networks (CNNs), explaining their pivotal role in computer vision tasks. It discusses the limitations of traditional neural networks for image recognition and the concept of convolution as a…

Advancements in Natural Language Processing (NLP) rely on large language models (LLMs) for tasks like machine translation and content summarization. To address the computational demands of LLMs, a hybrid approach integrating LLMs and small language models…

Snowflake’s ExCoT Framework: Optimizing AI for Business Solutions Snowflake’s ExCoT Framework: Optimizing AI for Business Solutions Introduction to ExCoT Snowflake has introduced a groundbreaking framework known as ExCoT, aimed at enhancing the performance of open-source Large…

Jagged Intelligence The term coined by Andrej Karpathy to describe the dual nature of modern AI systems Modern AI systems, particularly large language models (LLMs), excel in complex tasks but struggle with seemingly basic ones. This…

Robbie G2: Gen-2 AI Agent that Uses OCR, Canny Composite, and Grid to Navigate GUIs In the world of technology, navigating graphical user interfaces (GUIs) can be challenging, especially when dealing with complex or unfamiliar systems.…

Language models like GPT-4 are powerful but sometimes produce inaccurate outputs. Stanford and OpenAI researchers have introduced “meta-prompting,” enhancing these models’ capabilities. It involves breaking down complex tasks for specialized “expert” models within the LM framework.…

Understanding Geometry Problem-Solving with AI The Challenge Geometry problem-solving requires strong reasoning skills to interpret visuals and apply mathematical formulas. Current vision-language models (VLMs) struggle with complex geometry tasks, especially when dealing with unfamiliar operations like…

KOSMOS-G is an AI model developed by researchers at Microsoft Research, New York University, and the University of Waterloo. It can generate detailed images from text descriptions and multiple pictures. It uses a combination of pre-training…