​ Large language models (LLMs) are outstanding at producing well-written content and resolving various linguistic problems. These models are trained using vast volumes of text and computation to increase the chance of the following token autoregressively. Former research, however, shows that creating text with high… Read More »DeepMind Researchers Introduce Reinforced Self-Training (ReST): A Simple algorithm for Aligning LLMs with Human Preferences Inspired by Growing Batch Reinforcement Learning (RL) Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Language-guided video segmentation is a developing domain that focuses on segmenting and tracking specific objects in videos using natural language descriptions. Current datasets for referring to video objects usually emphasise prominent objects and rely on language expressions with many static attributes. These attributes allow… Read More »This AI Paper from NTU Singapore Introduces MeVIS: A Large-scale Benchmark for Video Segmentation with Motion Expressions Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ In the fast-paced world of Artificial Intelligence (AI) and Machine Learning, staying updated with the latest trends, breakthroughs, and discussions is crucial. Reddit, the front page of the internet, serves as a hub for experts and enthusiasts alike. Here’s our curated list of the… Read More »15 Artificial Intelligence (AI) And Machine Learning-Related Subreddit Communities in 2023 Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​ In response to the exponentially growing demand for accessible machine learning (ML) tools on embedded systems, researchers have introduced an innovative solution designed to empower developers working with Raspberry Pi single-board computers. The new framework, MediaPipe for Raspberry Pi, offers a Python-based software development… Read More »Google Introduces MediaPipe for Raspberry Pi with an Easy-to-Use Python SDK for On-Device Machine Learning Niharika Singh Artificial Intelligence Category – MarkTechPost

​Posted by Sergio Boixo and Vadim Smelyanskiy, Principal Scientists, Google Quantum AI Team A full-scale error-corrected quantum computer will be able to solve some problems that are impossible for classical computers, but building such a device is a huge endeavor. We are proud of the… Read More »How to compare a noisy quantum processor to a classical computer Google AI Google AI Blog

​ Today, we’re pleased to announce the preview of Amazon SageMaker Profiler, a capability of Amazon SageMaker that provides a detailed view into the AWS compute resources provisioned during training deep learning models on SageMaker. With SageMaker Profiler, you can track all activities on CPUs… Read More »Announcing the Preview of Amazon SageMaker Profiler: Track and visualize detailed hardware performance data for your model training workloads Roy Allela AWS Machine Learning Blog

​Posted by Hattie Zhou, Graduate Student at MILA, Hanie Sedghi, Research Scientist, Google Large language models (LLMs), such as GPT-3 and PaLM, have shown impressive progress in recent years, which have been driven by scaling up models and training data sizes. Nonetheless, a long standing… Read More »Teaching language models to reason algorithmically Google AI Google AI Blog

​ By capitalizing on shared representations common to different languages, cross-lingual learning is known to enhance the accuracy of NLP models on Low-Resource Languages (LRLs) that have limited data for model training. However, there is a significant disparity in the accuracy of high-resource languages (HRLs)… Read More »How can Businesses Improve the Accuracy of Multilingual Product Classifiers? This AI Paper Proposes LAMM: An Active Learning Approach Aimed at Bolstering the Classification Accuracy in Languages with Limited Training Data Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Posted by Ruijiao Sun, Google Intern – DTensor team Fast Fourier Transform is an important method of signal processing, which is commonly used in a number of ways, including speeding up convolutions, extracting features, and regularizing models. Distributed Fast Fourier Transform (Distributed FFT) offers… Read More »Distributed Fast Fourier Transform in TensorFlow noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ The max() function in Python is a built-in function that returns the maximum value from a sequence of values or an iterable object such as a list, tuple, or set. This function can also accept one or more arguments and return the largest of… Read More »Python max() Function Malli Spark By {Examples}