Introduction
This repository focuses on various aspects of Machine Learning, including MLOps for deploying models at scale, Generative AI for building applications with Large Language Models (LLMs), Natural Language Processing (NLP) to understand Transformers and text generation models, and Computer Vision for creating projects like Generative Adversarial Networks (GANs) such as Deepfakes. The content is designed for hands-on project building and coding algorithms from scratch, making it suitable for learners and practitioners in the field of AI and machine learning.
Key Features:
- MLOps: Learn how to deploy machine learning models effectively at scale.
- Generative AI: Build applications using LLMs and understand their underlying mechanisms.
- NLP: Gain insights into Transformers and text generation models.
- Computer Vision: Create projects involving GANs and explore their applications.
Use Cases:
- Ideal for students and professionals looking to enhance their skills in AI.
- Suitable for developers interested in practical applications of machine learning and AI technologies.