Improving data quality KPIs — Synopsis - Introduction - Optimizing data quality scores - Fixing source data issues - Review the data quality issue - Takeaways Hello and welcome to the next part of our blog series, ‘Mastering Data Quality: Your Complete Guide.’ In Part 1, we talked about starting data quality monitoring. Now, in Part…

Vector Indexing Explained: Everything You Need to Know A vector index serves as a crucial data structure in computer science and information retrieval, facilitating the efficient storage and retrieval of high-dimensional vector data. This capability is particularly valuable for tasks involving similarity searches and nearest-neighbor queries. The prominence of Generative…

Tips to reduce response time, and increase accuracy and performance. Building an effective Question-Answering (QA) system involves not only building an LLM but also optimizing its performance and fine-tuning for specific use cases. …

A step-by-step tutorial to accomplish your next project! Introduction to Transformers: Transformers are a type of deep learning model architecture introduced by Vaswani et al. in the paper “Attention is All You Need.” They have proven highly effective in various natural language processing (NLP) tasks. Transformers use a mechanism called self-attention to process…

This blog guides you to construct the app using two ways: Hugging Face Transformers & OpenAI API — To begin, let us see a quick introduction to text generation and in the next section we will gradually implement the application using Hugging Face Transformers & OpenAI API. Text Generation: Text generation involves the use of algorithms and language models to process input data and create output text. The process includes…

Fundamentals with real-world examples Introduction Since ChatGPT became widely available, everyone’s talking about LLMs, RAGs, and vector databases in the tech world. These are seen as super cool tech that can either make our lives better or worse, depending on who you ask. But, there’s an important part that doesn’t get…

With apps like Netflix (movie recommendation), Amazon (product recommendation), Spotify (music recommendation), YouTube (video recommendation), and many more, machine learning algorithms have already become a part of our everyday lives without us even realising it. …

Behind the ongoing quest for building unbiased models from biased data — Recommender systems play a pivotal role in shaping our digital experiences, guiding us through a sea of content on online platforms. From the allure of clickbait to the influence of popularity, these systems are not immune to biases impacting user recommendations. In this blog, we’ll learn about the intricacies of…

Steps for setting up data quality monitoring pipelines — Synopsis - Introduction - Define data quality requirements from a business perspective. - Define data quality requirements from a data engineering perspective. - Connecting data quality checks. - Takeaways Welcome to the first part of the blog series ‘How to reach a 100% data quality score?’ Discover the essential steps and…