Master NLP and LLM foundations, from transformers to prompt engineering, in this free self-paced course by Cohere.
Overview
Dive into the world of Large Language Models and Natural Language Processing with LLM University (LLMU), a comprehensive, free, and self-paced course by Cohere. This program is designed to equip learners with a robust understanding of core NLP concepts, the revolutionary Transformer architecture, and the practicalities of building and deploying LLMs. You'll explore essential topics like tokenization, pre-training methodologies, fine-tuning, advanced prompt engineering, and rigorous model evaluation. The course also delves into real-world applications and critical ethical considerations for AI safety. Perfect for developers, students, and data scientists looking to build foundational expertise in the rapidly evolving LLM landscape.
Instructor
Cohere Team
NLP Experts at Cohere
The LLMU curriculum is developed by Cohere's leading team of NLP researchers and engineers, bringing cutting-edge industry expertise directly to learners.
Learning Outcomes
Understand foundational concepts of Natural Language Processing and Large Language Models.
Explain the principles of tokenization and its role in LLMs.
Describe the Transformer architecture and its components in detail.
Grasp the process of pre-training LLMs and different fine-tuning techniques.
Apply effective prompt engineering strategies for various LLM tasks.
Learn methods for evaluating the performance and safety of LLMs.
Identify real-world applications and use cases for LLMs.
Discuss ethical considerations and safety challenges in LLM development and deployment.