Introduction to LLMs in Python
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
Uncover What’s Behind the Large Language Models Hype
Large Language Models (LLMs) have become pivotal tools driving some of the most stunning advancements and applications in today’s AI landscape. This hands-on course will equip you with the practical knowledge and skills needed to understand, build, and harness the power of LLMs for solving complex language tasks such as translation, language generation, question-answering, and more.
Design your Own LLM Architecture and Leverage Pre-Trained Models
Through iteractive coding exercises, we will demystify transformers, the most popular deep-learning architecture for constructing LLMs and NLP systems. We’ll also explore pre-trained language models and datasets from Hugging Face: a vast collection of resources for seamlessly integrating LLMs into your projects. By the end of this course, you will be able to build LLMs using various transformer architectures and configure, fine-tune, and evaluate pre-trained LLMs using specialized metrics. You will also gain insights into advanced concepts like Reinforcement Learning from Human Feedback (RLHF) and understand the key challenges and ethical considerations of enabling real-world LLM applications.
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