​ In the current engineering paradigm, identifying the internal microstructure of a material is difficult because only material responses from indirect measurements at boundaries or interfaces are available. This makes inverse problems, such as failure analysis, nondestructive testing, and ultrasonic or X-ray characterization of materials,… Read More »A machine-learning method developed at MIT detects internal structures, voids, and cracks inside a material based on data Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ ML algorithms have raised privacy and security concerns due to their application in complex and sensitive problems. Research has shown that ML models can leak sensitive information through attacks, leading to the proposal of a novel formalism to generalize and connect these attacks to… Read More »A new AI theoretical framework to analyze and bound information leakage from machine learning models Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ In Apache Spark, both createOrReplaceTempView() and registerTempTable() methods can be used to register a DataFrame as a temporary table and query it using Spark SQL. In this article, we shall discuss a few points on Spark createOrReplaceTempview() vs registerTempTable(), and the Differences among these… Read More »Spark createOrReplaceTempView() vs registerTempTable() rimmalapudi Spark By {Examples}

​ The development of large language models (LLMs), such as OpenAI’s ChatGPT and GPT-4, has reshaped artificial intelligence in many fields, including natural language processing, computer vision, and the biomedical field. Unfortunately, the specifics of ChatGPT’s training and the model architectures for its variants are… Read More »Finetuning LLaMA on Medical Papers: Meet PMC-LLaMA-A Model that Achieves High Performance on Biomedical QA Benchmarks Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ Spark registerTempTable() is a method in Apache Spark’s DataFrame API that allows you to register a DataFrame as a temporary table in the Spark SQL catalog so that you can run SQL queries. In this article, we shall discuss on Definition, Scope, and application… Read More »Spark registerTempTable() with Examples rimmalapudi Spark By {Examples}

​ Humans have started interacting with the world through the two best pillars of language and vision. This is all because of the super good capabilities of the recently popularized Large Language Models (LLMs). LLMs have taken the world by storm with their significantly increasing… Read More »Meet LLaVA: A Large Language Multimodal Model and Vision Assistant that Connects a Vision Encoder and Vicuna for General-Purpose Visual and Language Understanding Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Spark saveAsTextFile() is one of the methods that write the content into one or more text files. In this article, we shall discuss in detail about Spark saveAsTextFile() method, its configurations and illustrate its application using an example. Table of contents 1. What is… Read More »Spark saveAsTextFile() Usage with Example rimmalapudi Spark By {Examples}

​ The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. Compared to classical ML models, generative AI models are significantly bigger and… Read More »Achieve high performance with lowest cost for generative AI inference using AWS Inferentia2 and AWS Trainium on Amazon SageMaker Vivek Gangasani AWS Machine Learning Blog

​Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research Vision-language foundational models are built on the premise of a single pre-training followed by subsequent adaptation to multiple downstream tasks. Two main and disjoint training scenarios are popular: a CLIP-style contrastive learning and next-token… Read More »MaMMUT: A simple vision-encoder text-decoder architecture for multimodal tasks Google AI Google AI Blog

​ Reinforcement learning (RL) is a popular approach to training autonomous agents that can learn to perform complex tasks by interacting with their environment. RL enables them to learn the best action in different conditions and adapt to their environment using a reward system. A… Read More »Dream First, Learn Later: DECKARD is an AI Approach That Uses LLMs for Training Reinforcement learning (RL) Agents Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost