NLP (Natural Language Processing):
NLP is a field of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. It combines linguistics and machine learning to process text or speech data so machines can perform tasks like language translation, sentiment analysis, chatbots, summarization, and more.
Gen AI (Generative AI):
Generative AI refers to AI models designed to create new content—such as text, images, audio, or code—based on learned patterns from existing data. Examples include models like GPT (for text generation), DALL·E (for images), and other GANs. It’s used for tasks like writing articles, creating art, generating music, or building chatbots that can produce human-like conversations.
This portfolio captures my journey and accomplishments in the field of Natural Language Processing (NLP) and Generative AI, highlighting both academic understanding and hands-on expertise. As part of the “NLP with GenAI” course, I had the opportunity to dive deep into modern language models and apply them to solve real-world problems. This collection presents a comprehensive overview of my skills in analyzing, designing, and deploying intelligent systems that work with human language.