Artificial Intelligence
“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…
The Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) has reached an agreement with the Alliance of Motion Picture and Television Producers (AMPTP), ending the 118-day strike. The details of the agreement are still unknown, but it addresses issues related to AI’s role in actors’ performances and residual payments for streaming services. The…
Researchers from the University of Cambridge have developed an algorithm called Foot Optimisation, using Uncertain Normals for Surface Deformation (FOUND), which improves the reconstruction of 3D foot models from pictures. They have also released a large-scale synthetic dataset of foot images to aid research in this area. The algorithm uses uncertainties and surface normals to…
This article explains the basics of Probit regression as an alternative method to logistic regression for analyzing binary outcomes. Probit regression utilizes the cumulative distribution function of the normal distribution to model the relationship between a binary outcome variable and independent variables. It provides a step-by-step example of calculating probabilities and estimating the model parameters.…
CodeGPT is an AI code-generating tool that is gaining popularity among programmers. It integrates with Visual Studio Code and uses the GPT-3 language model to produce code, translate languages, write content, and answer queries. CodeGPT stands out from other tools due to its natural language processing capabilities, allowing developers to describe code in everyday language.…
The Phind Model, a new AI model for coding, offers superior coding abilities and remarkable speed compared to GPT-4. With a significant improvement in response time, it provides high-quality answers to technical questions in just 10 seconds. The model leverages H100s and the TensorRT-LLM library from NVIDIA to process 100 tokens per second and supports…
Fortuna is an open-source uncertainty quantification library that aims to simplify the application of advanced uncertainty quantification methods in regression and classification tasks. It offers calibration techniques, such as conformal prediction, to produce reliable uncertainty estimates and scalable Bayesian inference tools to incorporate uncertainty in both model parameters and predictions. Fortuna provides a consistent framework…
Generative AI refers to a machine-learning model that is trained to create new data, instead of making predictions based on existing data. It is different from traditional AI models that focus on prediction tasks. Generative AI has become more powerful with advancements in deep-learning architectures and larger datasets. It is used in various applications, such…