​ In recent years, transformer-based large language models (LLMs) have become very popular because of their ability to capture and store factual knowledge. However, how these models extract factual associations during inference remains relatively underexplored. A recent study by researchers from Google DeepMind, Tel Aviv… Read More »How Transformer-Based LLMs Extract Knowledge From Their Parameters Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Machine learning vs neural networks are two concepts that are often used interchangeably. While both deal with the processing and analysis of data, they have different approaches and applications. In this article, we will explore the differences between machine learning and neural networks. 1.… Read More »Machine Learning vs Neural Networks Explained Narender Kumar Spark By {Examples}

​ What are the applications of Deep Learning? In recent years, deep learning has revolutionized the field of artificial intelligence (AI) by providing the ability to process large amounts of complex data and solve problems in a way that mimics the human brain. Deep learning… Read More »Applications of Deep Learning Narender Kumar Spark By {Examples}

​ Machine learning is an application of artificial intelligence (AI) that allows computers to learn from data, without being explicitly programmed. Machine learning is a powerful tool that can be used in various industries such as healthcare, finance, transportation, and e-commerce, to name a few.… Read More »Machine Learning Features Narender Kumar Spark By {Examples}

​ In Sparklyr, using the dplyr syntax or using the Spark SQL syntax we can perform joins. All dplyr join supports the R data frames as well as spark data frames. In this article, you will see different types of sparklyr joins with examples. Joins… Read More »Sparklyr join explained with examples kathiriya1111 Spark By {Examples}

​ A Spark DataFrame can be created from various sources for example from Scala’s list of iterable objects. Creating DataFrame from a Scala list of iterable in Apache Spark is a powerful way to test Spark features in your development environment before working with large… Read More »Create DataFrame from Scala List of Iterables rimmalapudi Spark By {Examples}

​ 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}