This article introduces the business model of making money through TikTok Dropshipping. Sebastian Esqueda, a successful dropshipper, shares his exact model on the WGMI Media Podcast. The article explains the concept of TikTok Shop, its affiliate program for content creators, and provides a step-by-step guide on how to create a TikTok Shop. The strategy involves…
Researchers from Stanford, MIT, and Princeton created the Foundation Model Transparency Index (FMTI) to benchmark the transparency of AI companies and their models. Meta’s Llama 2 ranked first with a score of 54%, followed closely by OpenAI with 48%. The index highlights the need for greater transparency in AI solutions and helps organizations make informed…
Generative AI systems have various applications, including writing books and creating graphic designs. However, evaluating their ethical and social risks is crucial. This paper proposes a three-layered framework for evaluating these risks, focusing on AI system capability, human interaction, and systemic impacts. There are three main gaps in safety evaluations: context, specific risks, and multimodality.…
This text emphasizes the importance of continuous learning and growth in one’s career. It introduces several articles that cover various technical topics, such as generative AI, principle component analysis, image classification, linear algebra, support vector machines, and transformers. These articles provide accessible and actionable information for readers, whether they are beginners or experienced professionals. Additional…
Nvidia, the valuable chip company, is partnering with Foxconn, the iPhone manufacturer, to construct AI factories. These data centers will utilize Nvidia’s advanced chips for various artificial intelligence applications. The partnership was announced by Nvidia CEO Jensen Huang and Foxconn chairman Young Liu during a tech showcase event. These AI factories will enable training of…
deepsense.ai has partnered with LangChain, a framework that simplifies the development of Large Language Models (LLMs) applications. The partnership allows deepsense.ai to provide support and contribute to the LangChain community. Additionally, deepsense.ai gains exclusive access to LangSmith, a new tool for debugging and monitoring LLM applications, enhancing their ability to tailor AI solutions for clients.
Abu Dhabi-based company M42 Health has released Med42, an open-access clinical large language model (LLM) designed to enhance public access to advanced AI capabilities in healthcare. Med42, built using a human-curated medical literature and patient information dataset, outperforms existing medical AI models and offers accurate responses to medical inquiries. While further validation is needed, Med42…
Actionable data science tips to overcome operational challenges in transitioning to a circular economy include estimating the environmental impact of current linear models, automating life cycle assessment using data analytics, implementing sustainable sourcing and supply chain optimization, addressing the opacity of supply chain networks, streamlining reverse logistics operations, optimizing material efficiency through linear programming, and…
Researchers from the National University of Singapore have developed Show-1, a hybrid model for text-to-video generation. Show-1 combines pixel-based and latent-based video diffusion models (VDMs) to create high-quality videos with precise alignment. The model utilizes pixel VDMs for low-resolution videos and latent VDMs for upsampling to high resolution. Show-1 outperforms other models on video generation…
Former Fugees member Pras Michél alleges that his lawyer used an AI program called EyeLevel to draft a subpar closing argument in his recent conviction for conspiracy to defraud the U.S. government. Michél’s new legal team argues that the AI tool led to ineffective assistance of counsel. EyeLevel claims to be the first AI used…
Graph and geometric deep learning models have been successful in machine learning for drug discovery, specifically in modeling atomistic interactions, 3D/4D situations, activity and property prediction, and molecular production. However, the lack of large labeled datasets has limited progress. Researchers have created multitask datasets, developed the Graphium machine learning package, and demonstrated the benefits of…
MIT engineers have found that deep generative models (DGMs) used in AI can mimic existing designs but struggle to generate innovative solutions to engineering problems. The study showed that when DGMs were designed with engineering objectives in mind, they produced more innovative and higher-performing designs. The researchers concluded that AI models need to go beyond…
Microsoft is introducing its AI assistant called “Microsoft 365 Copilot” which integrates with ChatGPT and will be available in their office software. The AI tool can generate meeting summaries, draft emails, create Word documents, design PowerPoint presentations, and more. There are concerns about privacy and regulations regarding interaction with AI. Microsoft assures that data processed…
China will be participating in the upcoming UK AI Safety Summit at Bletchley Park, despite initial doubts about their involvement due to security concerns. The summit, which will focus on safety, is the first of its kind globally. The US and China’s geopolitical tensions are increasing, with additional limitations on technology exports from the US.…
Large language models (LLMs) face challenges related to prompt brittleness and biases in the input. Google researchers have proposed a new method called Batch Calibration (BC) to address these issues. BC is a zero-shot approach that minimizes additional computational costs and outperforms previous calibration baselines. It offers state-of-the-art performance, making it a practical solution for…
Daron Acemoglu, an economist at MIT, has been awarded the prestigious A.SK Social Science Award from the WZB Berlin Social Science Center. The award recognizes his influential work on the role of institutions in capitalist economies, the balance between states and societies, and the risks of automation. Acemoglu, who has made significant contributions to labor…
A team of researchers has developed a deep learning compiler for neural network training. The compiler includes a sync-free optimizer, compiler caching, and multi-threaded execution, resulting in significant speedups and resource efficiency compared to traditional approaches. The compiler improves training procedures for real-world applications and has the potential to optimize neural network models across various…
Purina US, a subsidiary of Nestle, used artificial intelligence (AI) and machine learning (ML) to automate animal breed detection on the Petfinder platform. By leveraging Amazon Rekognition Custom Labels, AWS Step Functions, and other AWS services, Purina created an ML model that detects the pet breed from uploaded images and auto-populates pet attributes. This solution…
Flash-Decoding is a groundbreaking technique that improves the efficiency of large language models during the decoding process. It addresses the challenges associated with attention operation, making the models up to 8 times faster. By optimizing GPU utilization, Flash-Decoding reduces operational costs and promotes greater accessibility of these models in various applications. This innovation is a…
21-year-old Luke Farritor, a computer science student at the University of Nebraska-Lincoln, has made a groundbreaking discovery by using a machine-learning algorithm to read the first-ever text from a burnt scroll found in the ancient city of Herculaneum. His breakthrough could lead to the deciphering of numerous currently unreadable ancient texts. Farritor won $40,000 in…