Vaibhavi

Day 21 – NLP Advances: ChatGPT, LLMs & Next-Gen Transformers

Leave a Comment / Artificial Intelligence, Deep Learning / By

Introduction Natural Language Processing (NLP) has undergone a revolution in recent years, primarily driven by large language models (LLMs) like ChatGPT and transformer-based architectures. These models are now capable of understanding, generating, and reasoning with human-like text, opening new frontiers in AI applications. At CuriosityTech , learners in Nagpur gain hands-on exposure to LLMs, ChatGPT-like […]

Day 21 – NLP Advances: ChatGPT, LLMs & Next-Gen Transformers Read More »

, , , , , , ,

Day 20 – Computer Vision Trends in 2025: Beyond CNNs

Leave a Comment / Artificial Intelligence, Deep Learning / By

Introduction Computer Vision (CV) is evolving rapidly. While Convolutional Neural Networks (CNNs) dominated the field for over a decade, new architectures and methodologies are reshaping the landscape. At CuriosityTech.in, learners explore next-generation CV trends, transformer-based architectures, self-supervised learning, and real-world applications, equipping them to stay ahead in AI careers in 2025 and beyond. 1. Limitations

Day 20 – Computer Vision Trends in 2025: Beyond CNNs Read More »

, , , , , , ,

Day 16 – Deploying Deep Learning Models with TensorFlow Serving

Leave a Comment / Artificial Intelligence, Deep Learning / By

Introduction Building deep learning models is only half the journey. Deployment ensures models can serve predictions in real-world applications. TensorFlow Serving is an open-source, flexible, high-performance system specifically designed to deploy ML models at scale. At CuriosityTech.in, learners in Nagpur gain hands-on experience serving models for web apps, mobile apps, and enterprise pipelines, ensuring they

Day 16 – Deploying Deep Learning Models with TensorFlow Serving Read More »

, , , , , ,

Day 22 – Advanced Machine Learning Techniques: Ensembles & Boosting

Leave a Comment / Data Science / By

Introduction In 2025, advanced machine learning techniques are essential for building high-performance models. Among these, ensemble methods and boosting algorithms stand out because they combine multiple models to improve accuracy, reduce bias, and enhance robustness. At Curiosity Tech, Nagpur (1st Floor, Plot No 81, Wardha Rd, Gajanan Nagar), learners master ensemble learning strategies, from simple

Day 22 – Advanced Machine Learning Techniques: Ensembles & Boosting Read More »

, , , , , ,

Day 10 – Building Your First ML Model with Scikit-Learn

Leave a Comment / Data Science / By

Introduction Building your first machine learning model can be intimidating, but with Scikit-Learn in Python, beginners can learn efficiently while gaining practical, hands-on experience. In 2025, Scikit-Learn remains one of the most widely used ML libraries due to its simplicity, versatility, and integration with Python’s data ecosystem. At Curiosity Tech, Nagpur (1st Floor, Plot No

Day 10 – Building Your First ML Model with Scikit-Learn Read More »

, , , , , ,

Day 5 – Understanding Mobile App Architecture for Cross-Platform Developers

Leave a Comment / Mobile App Developer Cross Platform / By

Opening Perspective: Architecture Is Not a Diagram, It’s a Discipline After spending two decades writing about software systems, one truth has revealed itself repeatedly: most mobile apps don’t fail because of features—they fail because of poor architecture. Cross-platform development has accelerated app delivery, but it has also quietly increased architectural complexity. When one codebase must

Day 5 – Understanding Mobile App Architecture for Cross-Platform Developers Read More »

, , , , ,