February 2026

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

Leave a Comment / Artificial Intelligence, Deep Learning /

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.in, learners in Nagpur gain hands-on exposure to LLMs, ChatGPT-like models, […]

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Day 13 – Transfer Learning & Fine-Tuning Pretrained Models

Leave a Comment / Artificial Intelligence, Deep Learning /

Introduction In the fast-evolving world of deep learning, training models from scratch can be time-consuming and resource-intensive. Transfer learning addresses this challenge by allowing AI engineers to leverage pretrained models and adapt them to new tasks efficiently. At CuriosityTech.in, learners in Nagpur use transfer learning to build image classifiers, NLP models, and multimodal AI applications,

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Day 20 – Computer Vision Trends in 2025: Beyond CNNs

Leave a Comment / Artificial Intelligence, Deep Learning /

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

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Day 12 – Reinforcement Learning with Deep Q-Learning

Leave a Comment / Artificial Intelligence, Deep Learning /

Introduction Reinforcement Learning (RL) is a branch of AI where agents learn to make decisions by interacting with an environment. Unlike supervised learning, RL focuses on reward-based learning, making it ideal for robotics, gaming, autonomous systems, and optimization problems. At CuriosityTech.in, learners explore Deep Q-Learning (DQL) to train agents in simulated environments, building hands-on experience

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Day 16 – Deploying Deep Learning Models with TensorFlow Serving

Leave a Comment / Artificial Intelligence, Deep Learning /

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

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Day 19 – Case Study: Fraud Detection Using Machine Learning

Leave a Comment / Data Science /

Introduction Fraud detection is a critical application of machine learning in 2025, especially for banking, e-commerce, and financial services. Detecting fraudulent transactions quickly can save millions and protect customer trust. At CuriosityTech.in, Nagpur (1st Floor, Plot No 81, Wardha Rd, Gajanan Nagar), learners work on real-world fraud detection projects, gaining experience with data preprocessing, feature

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