Artificial Intelligence
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…
Large Language Models (LLMs) have gained popularity for their text generation and language understanding capabilities. However, their adoption is challenging due to the large memory requirements. Intel researchers propose using quantization methods to reduce computational power on CPUs. Their approach includes INT-4 weight-only quantization and a specialized LLM runtime for efficient inference. Experimental results show…
“Intelligent Model Architecture Design (MAD)” explores the idea of using generative AI to guide researchers in designing more effective and efficient deep learning model architectures. By leveraging techniques like Neural Architecture Search (NAS) and graph-based approaches, MAD aims to accelerate the discovery of new breakthroughs in model architecture design. The potential implications of self-improvement in…
LLM-based applications, powered by Large Language Models (LLMs), are becoming increasingly popular. However, as these applications transition from prototypes to mature versions, it’s important to have a robust evaluation framework in place. This framework will ensure optimal performance and consistent results. Evaluating LLM-based applications involves collecting data, building a test set, and measuring performance using…
Humane, a startup led by former Apple innovators, has unveiled the AI Pin, a wearable projector priced at $699. The device functions as a personal assistant and comes with features like ultrawide camera capabilities, text/email communication, and AI responses. It was developed in collaboration with OpenAI and Microsoft. The AI Pin will start shipping in…
The OpenDAC project, a collaboration between Meta and Georgia Tech, aims to reduce the cost of Direct Air Capture (DAC) by identifying novel sorbents that efficiently remove CO2 from the air. They have created the ODAC23 dataset, the largest collection of Metal-Organic Framework (MOF) adsorption calculations, and released it to the research community to facilitate…
MLOps is a set of techniques and practices used to design, build, and deploy machine learning models efficiently. This tutorial provides a clear and comprehensive overview of MLOps, covering key topics such as the workflow, principles, tools, and best practices. It is a great resource for beginners looking to learn about MLOps.
The text discusses the separation between first launch and reboot when using startup scripts in cloud servers. It explains how user data is used to configure instances during the first launch and reboot, and provides an example of structuring the scripts to differentiate between the two. It also discusses centralizing startup scripts and overcoming character…
Collaboration to develop open-source and private datasets for AI training is emphasized.
The text discusses the intersection of AI and sustainability, emphasizing the need to demystify technology and understand its true capabilities. It highlights the role of AI as a powerful ally to human capability but also warns about the potential repercussions if left unchecked. The advent of Large Language Models (LLMs) threatens the traditional role of…
Scientists from Bar-Ilan University explore the necessity of deep learning in AI and propose alternative machine learning techniques for intricate classification tasks, while continuing their studies on tree-like architectures.
Researchers from Microsoft Azure and Microsoft Research have developed a framework for low-precision training using FP8, which can significantly reduce the costs associated with training large language models (LLMs). The framework offers fast processing, minimal memory usage, and reduced communication overhead. Experimental results demonstrate improvements in memory usage and communication overhead compared to traditional training…
Humane is launching the AI Pin, a screenless wearable smartphone priced at $699. It integrates advanced features with OpenAI capabilities, and comes with a monthly subscription fee of $24. The AI Pin attaches magnetically to clothing and doubles as a battery pack. It has a Qualcomm Snapdragon processor, camera, sensors, and Bluetooth connectivity. It uses…
There is a highlight of articles on the less technical aspects of data science work, including change management, data storytelling, preparing for technical presentations, and essential skills for data scientists. There are also additional reads on recommendation systems, pseudo-random numbers, knowledge-graph reasoning, reinforcement learning, hidden Markov models, and continual learning.
OpenAI has announced the launch of GPTs, customized versions of ChatGPT for specific purposes. Users can train GPTs with custom data to solve specific problems, and OpenAI is building a GPT store where users can post their GPTs for others to use, with revenue sharing opportunities. OpenAI is also launching a GPT Builder that allows…