Does GPT-4 Pass the Turing Test?

Researchers from The Chinese University of Hong Kong, Microsoft Research, and Shenzhen Research Institute of Big Data introduce MathScale, a scalable approach utilizing cutting-edge LLMs to generate high-quality mathematical reasoning data. This method addresses dataset scalability…

The text provides a guide on formatting text in Character.AI, covering various styles like bold, italics, strikethrough, lists, clickable links, and more using both a text formatting tool and Markdown commands. It also explains how to…

Large language models often produce unreliable responses due to their factually incorrect claims and hallucinations, similar to human error. The paper introduces FLEEK, an automated tool designed to verify and correct factual inaccuracies, providing a solution…

World models are AI systems aiming to understand and predict events in an environment. The Gen-2 video generative system is an early attempt but struggles with complex tasks. Challenges include creating accurate environment maps and simulating…

A team of researchers from Jiaotong University, Peking University, and Microsoft have developed a method called LeMa that improves the mathematical reasoning abilities of large language models (LLMs) by teaching them to learn from mistakes. They…

The proposed adaptive weight decay method automatically adjusts the weight decay hyper-parameter during training to improve adversarial robustness and counter robust overfitting, without needing extra data, by dynamically basing it on classification and regularization loss gradients.

Google has released an update for its AI Core app on the Pixel 8 Pro smartphone. The update is currently exclusive to the Pixel 8 Pro and includes improvements to features such as automatic scene detection,…

The Importance of Theory of Mind in AI Theory of Mind (ToM) is the ability to understand others’ mental states and predict their behaviors. This capability is becoming essential as Large Language Models (LLMs) are increasingly…

EELBERT is an approach for compressing transformer-based models like BERT while preserving accuracy in downstream tasks. It replaces the input embedding layer with dynamic embedding computations, reducing model size. Evaluations on the GLUE benchmark demonstrate the…

Unlocking the Power of Multimodal Models for Time-Series Data What Are Multimodal Models? Multimodal foundation models like GPT-4 and Gemini are advanced tools that can process various types of data, including images and text. However, they…

This article discusses a new method for automating Roman Numeral Analysis using Graph Neural Networks. The model, called ChordGNN, leverages note-wise information to make onset-wise predictions of Roman Numerals in a musical score. The article highlights…

Major Update to sqlite-vec for Enhanced Vector Search What’s New in Version 0.1.6? Alex Garcia has launched a significant update to sqlite-vec, an extension for SQLite that facilitates vector search. The new version, 0.1.6, includes: Metadata…

This text provides smart tips for efficient data labeling using the Clarifai Platform.

Transformative Potential Google DeepMind’s Video-to-Audio (V2A) technology revolutionizes AI-driven media creation by generating synchronized audiovisual content, combining video footage with dynamic soundtracks, including dramatic scores, realistic sound effects, and dialogue matching the characters and tone of…

Silent mistakes or harsh consequences can arise if not careful.

Researchers from MIT and NVIDIA have developed two techniques that can accelerate the processing of sparse tensors, a type of data structure used for high-performance computing. The techniques, called HighLight and Tailors/Swiftiles, can improve the performance…

Researchers at the University of Moncton, Canada, have developed ECOGEN, a deep learning tool that generates lifelike bird sounds to enhance samples of underrepresented species. By expanding sound libraries for rare birds, it improves the accuracy…

Health equity is a global concern due to persistent disparities in healthcare access, treatment, and diagnostic effectiveness. Integrating AI into healthcare may offer promise, but there’s a risk of exacerbating existing inequities. Google Health has proposed…