Artificial Intelligence and Machine Learning Blogs

  • Retrieval Augmented Generation – Overview

    Retrieval-Augmented Generation (RAG) is a method in the field of natural language processing (NLP) that merges the capabilities of neural language models and information retrieval systems. Its purpose is to produce responses that are more knowledgeable and precise in tasks… Continue reading

  • GenAI – Comparison of hype to reality

    Generative AI discussions swing between hope and pessimism.  Generative AI is often hailed as a revolutionary technology that will transform various industries, including entertainment and medicine. AI may take over creative, professional, and technical jobs. There’s a view that generative… Continue reading

  • Natural Language Processing

    Natural Language Processing (NLP) is the technology that enables computers to understand and process human language. It’s an essential part of artificial intelligence AI that enables computers to comprehend, interpret, communicate, and respond in human language. Here is a brief… Continue reading

  • Data Engineering – ELT vs ETL

      Data Engineering – ELT vs ETL Data Engineering involves building and developing systems to collect, store, and analyze data at scale. Specifically, ELT and ETL methodologies play a critical role in data engineering by facilitating the movement and processing… Continue reading

  • Machine Learning – Semi Supervised Learning Techniques

    Semi-supervised learning is a machine learning approach where only a small number of training data are labeled, while most training data are not labeled. It lies somewhere between supervised and unsupervised learning and is useful when it is difficult or… Continue reading

  • Machine Learning – UnSupervised Learning Techniques

    Unsupervised learning is a category of machine learning that entails training an algorithm on a dataset that has not been labeled or classified. The purpose is to recognize hidden patterns or fundamental formations in the information. Unsupervised learning methods include… Continue reading

  • Machine Learning – Supervised Learning Techniques

    Supervised Learning Techniques. Supervised learning is a type of machine learning in which the models are trained using labeled input data. The model learns the pattern to predict the output from the input data, which is “supervised” to determine the… Continue reading

  • ETL vs ELT Comparison

    When it comes to data management strategies, particularly data warehousing, there are two major strategies used in ETL and ELT . The difference between the two lies in the way they handle data, which is later used for business intelligence… Continue reading

  • Feature Engineering Concepts

    Feature engineering take place in the machine learning pipeline and consists of transforming and enriching the data to create more effective predictive models. It might include creating new features or adjusting existent ones in a way to prepare them to… Continue reading

  • Deep Learning Concepts

    Deep learning is a type of machine learning that is motivated by the structure and function of the human brain in that it is centered on artificial neural networks. The basics of deep learning are as follows: Neural Networks: Artificial… Continue reading