​ Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions (BERT) to over a trillion parameters (MiCS), and whose size makes single-GPU training impractical. LLMs’ generative… Read More »Training large language models on Amazon SageMaker: Best practices Anastasia Tzeveleka AWS Machine Learning Blog

​ As technology advances, it’s essential for developers, students and educators to stay ahead of the curve through continuous learning. This is especially true for those interested in AI, high performance computing and the metaverse, as these technologies evolve fast.  Beginners, experts and everyone in… Read More »From Basics to Mastery: How to Advance AI, HPC and Metaverse Technical Skills Ann Sheridan – Archives Page 1 | NVIDIA Blog

​Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative, an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions… Read More »Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages Google AI Google AI Blog

​ How to convert a list of lists to a tuple of tuples in python? A list of lists is often used to group related values together, and converting it to a tuple of tuples can be useful for further data processing or analysis. A… Read More »Convert List of Lists to Tuple of Tuples in Python Malli Spark By {Examples}

​ Weakly supervised and unsupervised training approaches have shown outstanding performance on various audio processing tasks, including voice recognition, speaker recognition, speech separation, and keyword spotting, thanks to the availability of large-scale online datasets. Researchers at Oxford developed a speech recognition system called Whisper that… Read More »Researchers From Oxford Open-Source WhisperX: A Time-Accurate Speech Recognition System With Word-Level Timestamps Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Robots are incredible. They have already revolutionized the way we live and work, and they still have the potential to do it again. They changed the way we live by doing mundane tasks for us, like vacuuming. Moreover, and more importantly, they changed the… Read More »Mimicking is the Way: Innovative AI Model Lets Robots Learn Tasks by Watching Human Videos Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ Table of Contents Triplet Loss with Keras and TensorFlow Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Implementing Siamese Model and Triplet Loss Summary Credits Citation Information Triplet Loss with Keras and TensorFlow In today’s tutorial, we will try to… Read More »Triplet Loss with Keras and TensorFlow Shivam Chandhok PyImageSearch

​ With 22 million daily inquiries, Brave Search is rapidly becoming one of the popular search engines. Brave deliver impartial search results based on their index of the Web. Now Brave has taken a step further with the help of artificial intelligence to increase the… Read More »Brave Search Presents An Artificial Intelligence Function Summarizer For Synthesized And Relevant User Search Results Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have shown they can adapt to target tasks during inference by a process known as few-shot demonstrations, sometimes known as in-context learning. This capability has become increasingly obvious as model sizes scale up, with LLMs displaying emerging features. One emerging… Read More »A New AI Research Explains How In-Context Instruction Learning (ICIL) Improves The Zero-Shot Task Generalization Performance For Both Pretrained And Instruction-Fine-Tuned Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ How to Filter Spark DataFrame based on date? By using filter() function you can easily perform filtering dataframe based on date. In this article, I will explain how to filter based on a date with various examples. 1. Filter Syntax The filter() function can… Read More »Filter Spark DataFrame Based on Date rimmalapudi Spark By {Examples}