This is Part 4 of Generative AI in Data Science. Do read previous parts to get a full understanding. In this blog post we will learn about benchmarking synthetic data. This post gives you a practical framework for quantifying the quality and validating the effectiveness of synthetic data for real-world model training. Part 4: […]
Part 4: Benchmarking Synthetic Data – How Close Is “Close Enough”? Read More »
This is Part 3 of the Generative AI in Data Science blog series. This post takes things up a next level automating synthetic data generation across domains, injecting real-world messiness, and generating labeled text data for NLP tasks. Part 3: Automating GPT-Based Synthetic Data Generation for Real-World Modeling In Part 1and Part 2, we
Part 3: Automating GPT-Based Synthetic Data Generation for Real World Modeling Read More »
Part 2 of blog series is a deep, code-heavy guide that walks you readers through building and validating a synthetic data generator using GPT-4 + Python. in Part 1 we have already learned the importance of Synthetic data and why it is needed. If you have not read Part 1 yet, Click Here Goal:
Part-2 Building a Synthetic Tabular Data Generator With GPT-4 and Python Read More »
Generative AI in Data Science. This Blogpost is an easy guide with python code examples. In this section, you will learn how to create synthetic data by just typing a prompt, and Generative AI will do the rest of the task for you. But let me start with “What is prompt?” prompt is an string
Generative AI in Data Science: Easy Guide With Python Examples Read More »
What is a Variable? In any programming language variables are containers. It is used to store values or data. Values or data can be in the form of numbers or characters. Variables are also called identifiers. It identifies memory locations for different values. We call it variables because it’s values changes as per the programming
Variables in C: Simple Explanation With Code Examples Read More »
What is C? C is a most popular computer programming language. It has been developed by Dennis Ritchie at US Defence Bell laboratories in 1972. It is the first high level, general purpose programming language. Before C there was other low level programming languages such as Machine language(Binary), COBOL, FORTRAN, etc. These languages are low
Machine Learning is rapidly growing field. We get news of every day new development, new evolution in this field. After Developing ML models we deploy in the production. Deploying models into production efficiently and reliably is job of expert professionals. Machine Learning Operations (MLOPs) provides CI/CD(Continuous Integration/Continuous Development) platforms that bridges the gap between data
11 MLOps Tools for Machine Learning Engineers to Know Read More »
Artificial Intelligence (AI) is rapidly transforming how industries function, making it a hot career path for engineers, data scientists, and developers. Whether you are aiming for a role in machine learning, deep learning, or general AI, preparing for interviews with a solid grasp of core and advanced concepts is key. This comprehensive guide explores 100
100 AI Interview Questions and Answers: A Easy Guide Read More »
Learn how to build powerful Retrieval-Augmented Generation (RAG) pipelines that combine search and generative AI to boost accuracy, reduce hallucinations, and deliver real-time, context-aware responses. A complete guide for developers and AI teams. Retrieval Augmented Generation Building Smarter AI: How to Develop RAG Pipelines for More Accurate Generative Models Generative AI models like GPT-4
What is Retrieval Augmented Generation(RAG)? A simple Guide Read More »
