Language Models (LMs) have reshaped NLP and AI. Beginners should grasp foundational concepts like NLP basics, probability and statistics, embeddings, and transformer architecture. Practical steps include learning tools like Hugging Face, PyTorch, and TensorFlow, exploring quality datasets, and starting with simple tasks like sentiment analysis. Pre-trained LMs from Hugging Face can save time and resources for various language tasks.
Table of contents
1. Understand the Foundational Concepts Behind Language Models2. Get Familiar with Relevant Tools and Libraries3. Deep-dive into Quality Datasets for Language Tasks4. Start Humble: Train Your First Language Model5. Leverage Pre-trained LMs for Various Language TasksSort: