The aggregation $unwind operator in MongoDB is used to split up an array field into separate documents for each element in the array, In other words, it deconstructs an array field from the input documents to output a document for each element. In this article, we… Read More »$unwind in MongoDB Explained AQSA Spark By {Examples}
Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding. Some of the benefits… Read More »Quickly build high-accuracy Generative AI applications on enterprise data using Amazon Kendra, LangChain, and large language models Abhinav Jawadekar AWS Machine Learning Blog
Posted by Joanne Truong, Student Researcher, and Wenhao Yu, Research Scientist, Robotics at Google Teaching mobile robots to navigate in complex outdoor environments is critical to real-world applications, such as delivery or search and rescue. However, this is also a challenging problem as the robot… Read More »IndoorSim-to-OutdoorReal: Learning to navigate outdoors without any outdoor experience Google AI Google AI Blog
Runway The Runway is an AI-driven content creation, editing, and collaboration suite. Runway streamlines the monotonous, time-consuming, and error-prone parts of content generation and video editing while giving users complete editorial freedom. Text-to-picture creation, erasing and replacing text, AI training, text-to-color grading, super slow… Read More »15+ Best AI Video Generator Tools (2023) Prathamesh Ingle Artificial Intelligence Category – MarkTechPost
Amazon SageMaker Studio is the first fully integrated development environment (IDE) for ML. It provides a single, web-based visual interface where you can perform all machine learning (ML) development steps required to build, train, tune, debug, deploy, and monitor models. It gives data scientists… Read More »Implement backup and recovery using an event-driven serverless architecture with Amazon SageMaker Studio Kenny Sato AWS Machine Learning Blog
New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. Combined with their flexibility, high speed of development, and low operating cost, these general-purpose processors offer an alternative to other existing hardware solutions. AWS, Arm,… Read More »Optimized PyTorch 2.0 inference with AWS Graviton processors Sunita Nadampalli AWS Machine Learning Blog
One might think as to what kind of daily circumstances can large language models (LLMs) reason about. Although large language models (LLMs) have achieved great success in many tasks, they continue to need help with tasks that call for reasoning. So-called “theory of mind”… Read More »A New AI Research from John Hopkins Explains How AI Can Perform Better at Theory of Mind Tests than Actual Humans Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
This post is co-written by Jyoti Sharma and Sharmo Sarkar from Vericast. For any machine learning (ML) problem, the data scientist begins by working with data. This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of… Read More »How Vericast optimized feature engineering using Amazon SageMaker Processing Anthony McClure AWS Machine Learning Blog
Using Docker to run MongoDB can simplify the deployment process and make it easier to manage the database infrastructure. We shall determine how to set up MongoDB in a Docker in this article. The steps to run MongoDB inside a Docker container are listed… Read More »Run MongoDB in Docker Container AQSA Spark By {Examples}
This article mainly focuses on the $push operator in MongoDB and its different scenarios with other operators. The $push operator is a MongoDB update operator that allows us to append new elements to an array within a document. Moreover, the $push operator can be… Read More »MongoDB $push Operator to Update Array AQSA Spark By {Examples}