How to retrieve only queried elements in an object array in MongoDB? The capability of MongoDB to store data in adaptable, schema-less documents is one of its most significant features. These documents might have arrays of embedded objects, which can occasionally make it hard… Read More »Retrieve Queried Element in an Object Array in MongoDB AQSA Spark By {Examples}
Many datasets, convolutional neural networks, and transformers have achieved remarkable success on various vision tasks. Instead, few-shot learning, where the networks are confined to learn from constrained pictures with annotations, also becomes a research hotspot for various data-deficient and resource-finite scenarios. Numerous earlier publications… Read More »This AI Paper Proposes CaFo: A Cascade of Foundation Models that Incorporates Diverse Prior Knowledge of Various Pre-Training Paradigms for Better Few-Shot Learning Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
Regression analysis is a statistical technique used to estimate the relationship between a dependent variable to one or more independent variables. And a linear regression model may not provide accurate results. In such cases, polynomial regression can be used. In this article, I will… Read More »Polynomial Regression With Examples Narender Kumar Spark By {Examples}
Together is creating the first distributed cloud designed specifically for handling huge foundation models. The company offers an intuitive platform combining data, models, and computing to help AI researchers, developers, and businesses better harness and advance AI. Together team believes that open-source models for… Read More »Together Releases The First Open-Source ChatGPT Alternative Called OpenChatKit Tanushree Shenwai Artificial Intelligence Category – MarkTechPost
A prompt is a set of input text or instructions used to guide AI models like ChatGPT, DALLE-2, etc., toward generating desired outputs. In other words, a prompt is a specific text that prompts an AI model to create an outcome that aligns with… Read More »Roadmap of Becoming a Prompt Engineer (2023) Arham Islam Artificial Intelligence Category – MarkTechPost
The emergence of artificial intelligence forces our civilization to undergo a paradigm change. What was previously created by humans might be done by AI in several sectors in the future. Changes and difficulties are ahead for us shortly, which we must overcome in previously… Read More »Best AI Tools for Web Designers (2023) Prathamesh Ingle Artificial Intelligence Category – MarkTechPost
We see digital avatars everywhere, from our favorite chat applications to virtual marketing assistants on our favorite e-commerce websites. They are becoming increasingly popular and integrating quickly into our daily lives. You go into your avatar editor, select skin color, eye shape, accessories, etc.… Read More »Memoji on Steroids: This AI Model Can Reconstruct 3D Avatars from Videos Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost
Logistic Regression is one of the most widely used Artificial Intelligence algorithms in real-life Machine Learning problems — thanks to its simplicity, interpretability, and speed. In the next few minutes we’ll understand what’s behind the working of this algorithm. In this article, I will explain… Read More »Logistic Regression Explained with Examples Narender Kumar Spark By {Examples}
Linear Regression is one of the most widely used Artificial Intelligence algorithms in real-life Machine Learning problems — thanks to its simplicity, interpretability, and speed. In the next few minutes, we’ll understand what’s behind the working of this algorithm. In this article, I will… Read More »Linear Regression With Examples Narender Kumar Spark By {Examples}
Researchers from MIT and Brown University have conducted a groundbreaking study on the dynamics of training deep classifiers, a widespread neural network used for tasks like image classification, speech recognition, and natural language processing. The study, published in the journal Research, is the first… Read More »MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks Niharika Singh Artificial Intelligence Category – MarkTechPost