Bill Gates believes that artificial intelligence (AI) will revolutionize computing and reshape the software industry. He envisions AI-driven agents that understand and respond to natural language and can perform tasks across multiple applications. These agents will learn from users’ preferences and behavior patterns, acting as personal assistants for tasks ranging from travel planning to healthcare…

The latest wave of generative AI, from ChatGPT to GPT4 to DALL-E 2/3 to Midjourney, has attracted global attention. These models exhibit superhuman capabilities but also make fundamental comprehension mistakes. Researchers propose the Generative AI Paradox hypothesis, suggesting that generative models can be more creative than humans because they are trained to produce expert-like outputs…

The post discusses a common error that some users encounter when using ChatGPT plugins, which is the “Authorization error accessing plugins.” It provides a step-by-step guide on how to solve this error, including clearing the browser cache and data, uninstalling and reinstalling the plugins, using a VPN, switching browsers, and contacting the plugin developer for…

The KwikBucks algorithm combines embedding models with cross-attention models for efficient and high-quality clustering. It uses the embedding model to guide queries to the cross-attention model, conserving resources. The algorithm identifies centers and creates clusters based on them, merging clusters with strong connections. The algorithm outperformed baseline algorithms in tests on different datasets. (50 words)

Researchers from NVIDIA and UT Austin have developed MimicGen, an autonomous data generation system for robotics. With just 200 human demonstrations, MimicGen generated a large multi-task dataset of over 50,000 demonstrations. This system can help train robots without the need for extensive human work, making it a valuable tool in robotics research and development.

Nvidia’s Eos AI supercomputer, equipped with 10,752 NVIDIA H100 Tensor Core GPUs, achieved new MLPerf AI training benchmark records. It successfully trained a GPT-3 model with 175 billion parameters on one billion tokens in just 3.9 minutes, compared to nearly 11 minutes previously. The improved processing power and efficiency indicate significant advancements in AI technology.

kscorer is a package that helps with clustering and data analysis through advanced scoring and parallelization. It offers techniques such as dimensionality reduction, cosine similarity, multi-metric assessment, and data sampling to determine the optimal number of clusters. The package also provides evaluation metrics like Silhouette Coefficient, Calinski-Harabasz Index, Davies-Bouldin Index, Dunn Index, and Bayesian Information…

The introduction of Large Language Models (LLMs) has been a significant advancement in Artificial Intelligence. These models face unique challenges in the finance industry but have seen progress in financial text summarization, stock price predictions, financial report production, news sentiment analysis, and financial event extraction. However, in the Chinese financial market, LLMs lack an in-depth…

This week’s AI news roundup includes various interesting developments. Pepsico has used AI to silence the crunch of Doritos for gamers. Steak-umm gaslit vegans with fake videos. AI-generated fake nudes caused issues in a New Jersey school. Meta now requires labeling of AI-generated ads due to the ease with which humans are tricked. There is…

New research by CAS, Microsoft, William & Mary, Beijing Normal University, and HKUST explores the relationship between Emotional Intelligence (EQ) and large language models (LLMs). The study investigates whether LLMs can interpret emotional cues and how emotional stimuli can improve their performance. The researchers developed EmotionPrompt, a method for investigating LLMs’ emotional intelligence, and found…