​ Pretrained language models (PLMs) have significantly improved on many downstream NLP tasks due to finetuning. While current PLMs can include hundreds of millions of parameters, the traditional paradigm of full task-specific finetuning (FT) is challenging to expand to numerous tasks. The need to learn… Read More »A New AI Research Introduces Multitask Prompt Tuning (MPT) For Transfer Learning Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio. Data Wrangler enables you to access data from a wide variety of popular sources (Amazon S3, Amazon Athena, Amazon… Read More »Accelerate time to insight with Amazon SageMaker Data Wrangler and the power of Apache Hive Ajjay Govindaram AWS Machine Learning Blog

​ In this two-part series, we demonstrate how to label and train models for 3D object detection tasks. In part 1, we discuss the dataset we’re using, as well as any preprocessing steps, to understand and label data. In part 2, we walk through how… Read More »Using Amazon SageMaker with Point Clouds: Part 1- Ground Truth for 3D labeling Isaac Privitera AWS Machine Learning Blog

​ Online fraud has a widespread impact on businesses and requires an effective end-to-end strategy to detect and prevent new account fraud and account takeovers, and stop suspicious payment transactions. Detecting fraud closer to the time of fraud occurrence is key to the success of… Read More »Real-time fraud detection using AWS serverless and machine learning services Giedrius Praspaliauskas AWS Machine Learning Blog

​ Posted by Amandeep Singh (Vodafone), Max Vökler (Google Cloud) Vodafone leverages Google Cloud to deploy AI/ML use cases at scale As one of the largest telecommunications companies worldwide, Vodafone is working with Google Cloud to advance their entire data landscape, including their data lake,… Read More »How Vodafone Uses TensorFlow Data Validation in their Data Contracts to Elevate Data Governance at Scale noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ How to append items or elements to a dictionary in Python? Python provides an update() method to append single or multiple items to the dictionary. The dictionary is mutable hence, you can easily append new elements to the dictionary. Note that items or elements… Read More »Append Item to Dictionary in Python Vijetha Spark By {Examples}

​Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images… Read More »PaLM-E: An embodied multimodal language model Google AI Google AI Blog