#Fine Tuning

A comprehensive course on Large Language Models (LLMs) leveraging OpenAI and Hugging Face libraries for practical applications such as chatbot design, code generation, and model optimization techniques like PEFT and LoRA. The course is divided into segments covering foundational techniques, project implementation, and enterprise integration without overstating capabilities. Features insights from Medium articles and interactive Colab/Kaggle notebooks aimed at both tech enthusiasts and professionals.

This repository provides extensive resources on Natural Language Processing (NLP) and Machine Learning featuring hands-on examples. It includes deep learning projects with model fine-tuning techniques for BERT, DeBERTa, and Longformer. Learn about sentiment analysis, named entity recognition, and topic modeling through practical coding notebooks for all levels. Additionally, explore machine learning applications in finance and trading to identify key stock exchange features. This guide serves as a reliable resource for understanding AI-driven solutions.