How to resolve Cannot call methods on a stopped SparkContext in Databricks Notebooks or any application while working in Spark/Pyspark environment. In Spark when you are trying to call methods on a SparkContext object that has already been stopped you would get Cannot call… Read More »Cannot call methods on a stopped SparkContext in Spark rimmalapudi Spark By {Examples}
Why Spark RDDs are immutable? Spark Resilient Distributed Datasets (RDDs) are the fundamental data structures in Spark that allow for distributed data processing. Spark RDDs are immutable and fault-tolerant collections of objects that can be processed in parallel across a cluster of machines. In… Read More »Why Spark RDDs are immutable? rimmalapudi Spark By {Examples}
The Lineage Graph is a directed acyclic graph (DAG) in Spark or PySpark that represents the dependencies between RDDs (Resilient Distributed Datasets) or DataFrames in a Spark application. In this article, we shall discuss in detail what is Lineage Graph in Spark/PySpark, and its… Read More »What is Lineage Graph in Spark? rimmalapudi Spark By {Examples}
Is it better to have in Spark one large parquet file vs lots of smaller parquet files? The decision to use one large parquet file or lots of smaller parquet files depends on various factors such as the size of your data, the way… Read More »Spark Large vs Small Parquet Files rimmalapudi Spark By {Examples}
A new development in large language models has emerged with the release of OpenLLaMA, an open-source reproduction of Meta AI’s LLaMA model. The creators of OpenLLaMA have made the permissively licensed model publicly available as a 7B OpenLLaMA model that has been trained with… Read More »Meet OpenLLaMA: An Open-Source Reproduction of Meta AI’s LLaMA Large Language Model Niharika Singh Artificial Intelligence Category – MarkTechPost
“In my opinion, AutoGPT / babyAGI / AgentGPT is the real disruption point for the use of AI for complex problem-solving. Keep an eye out for these terms popping up in the news in the coming months.” That’s what Lars said, and rightfully so! Autonomous… Read More »Dawn of the Auto Pilot GPT Bots Mohammed Brückner Chatbots Life – Medium
In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. With the… Read More »Build an image search engine with Amazon Kendra and Amazon Rekognition Ryan See AWS Machine Learning Blog
This is a joint post co-written by AWS and Voxel51. Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. A retail company is building a mobile app to help customers buy clothes. To create this app,… Read More »Create high-quality datasets with Amazon SageMaker Ground Truth and FiftyOne Shalendra Chhabra AWS Machine Learning Blog
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