One crucial aspect of MongoDB administration is user management (create, update, delete users) which permits us to control access to the databases and ensure data security. We will walk through creating a user in MongoDB in this particular article with different options. Alongside this,… Read More »MongoDB Create User AQSA Spark By {Examples}
In MongoDB, the $elemMatch operator is used to query documents that contain arrays and retrieve only the elements within the array that match specific conditions. The $elemMatch operator makes exact querying and retrieval of individual array items that satisfy the stated criteria possible, which… Read More »MongoDB $elemMatch Operator Usage AQSA Spark By {Examples}
In a world increasingly driven by the intersection of language and technology, the demand for versatile and powerful language models has never been greater. Traditional large language models (LLMs) have excelled in textual comprehension or coding tasks but seldom managed to strike a harmonious… Read More »XLang NLP Lab Researchers Propose Lemur: The State-of-the-Art Open Pretrained Large Language Models Balancing Text and Code Capabilities Niharika Singh Artificial Intelligence Category – MarkTechPost
Large language models like GPT-3 and their impact on various aspects of society are a subject of significant interest and debate. Large language models have significantly advanced the field of NLP. They have improved the accuracy of various language-related tasks, including translation, sentiment analysis,… Read More »Researchers from Inception, MBZUAI, and Cerebras Open-Sourced ‘Jais’: The World’s Most Advanced Arabic Large Language Model Mohammad Arshad Artificial Intelligence Category – MarkTechPost
MongoDB provides a powerful set of commands that allow us to interact with the database, view collections, monitor MongoDB, and perform administrative tasks from CLI or GUI. Here, we provided some common commands used in MongoDB. Note that all these commands are executed with… Read More »Most Useful Commands of MongoDB AQSA Spark By {Examples}
Large language models (LLMs) have become a general-purpose approach to embodied artificial intelligence problem-solving. When agents need to understand the semantic nuances of their environment for efficient control, LLMs’ reasoning skills are crucial in embodied AI. Recent methods, which they refer to as “programs… Read More »This AI Paper Introduces the Complexity-Impacted Reasoning Score (CIRS): Evaluating the Role of Code Complexity in Enhancing the Reasoning Abilities of Large Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
Gesture recognition technology faces significant challenges in sensor configuration and placement, data interpretation, and machine learning accuracy. Efficiently setting up sensors to capture nuanced movements, reliably interpreting the resulting data, and ensuring that the machine learning algorithms accurately recognize the intended gestures remain persistent… Read More »Researchers from the University in Yokohama Propose VirSen1.0: A Virtual Environment for Streamlining the Development of Sensor-Based Human Gesture Recognition Systems Astha Kumari Artificial Intelligence Category – MarkTechPost
Credit assignment in neural networks for correcting global output mistakes has been determined using many synaptic plasticity rules in natural neural networks. Short-term plasticity, Hebbian learning, and spike-timing-dependent plasticity (STDP) have been the primary focuses of previous attempts to bring biologically relevant plasticity principles… Read More »A Brain-Inspired Learning Algorithm Enables Metaplasticity in Artificial and Spiking Neural Networks Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost
In the ever-evolving field of computer vision, a pressing concern is the imperative to ensure fairness. This narrative illuminates the vast potential residing in AI technology, particularly within computer vision, where it stands as a catalyst for transformative breakthroughs across diverse sectors, from maintaining… Read More »Meta AI’s Two New Endeavors for Fairness in Computer Vision: Introducing License for DINOv2 and Releasing FACET Madhur Garg Artificial Intelligence Category – MarkTechPost
On various Natural Language Processing (NLP) tasks, Large Language Models (LLMs) such as GPT-3.5 and LLaMA have displayed outstanding performance. The capacity of LLMs to interpret visual information has more recently been expanded by cutting-edge techniques like MiniGPT-4, BLIP-2, and PandaGPT by aligning visual… Read More »Meet AnomalyGPT: A Novel IAD Approach Based on Large Vision-Language Models (LVLM) to Detect Industrial Anomalies Aneesh Tickoo Artificial Intelligence Category – MarkTechPost