Understanding how Large Language Models work and their applications.
A guide to fine-tuning models like GPT and Llama for custom tasks.
Introduction to NLP techniques, tokenization, and word embeddings.
Building a sentiment analysis model using machine learning.
Basics of computer vision, image processing, and feature extraction.
Exploring YOLO, Faster R-CNN, and SSD for real-time object detection.
