Applied Natural Language Processing with LLMs

Description

Unlock the power of Large Language Models (LLMs) to solve real-world language processing challenges. This hands-on course bridges traditional Natural Language Processing (NLP) techniques with cutting-edge transformer-based architectures like GPT, BERT, and LLaMA. Designed for developers, data scientists, and AI enthusiasts, the course focuses on applying LLMs to build scalable, intelligent language applications.

What You’ll Learn:

• Foundations of NLP and the evolution to LLMs

• Working with transformer-based models (e.g., GPT-4, BERT, T5, LLaMA)

• Text classification, summarization, translation, Q&A, and conversational AI

• Fine-tuning vs. prompt engineering

• Using popular frameworks (Hugging Face Transformers, LangChain, OpenAI APIs)

• Best practices for model deployment and scalability

• Ethical considerations, bias mitigation, and responsible AI use