Large Language Models and Prompt Engineering Fundamentals

Large language models (LLMs) are transforming how we interact with technology, but harnessing their immense power requires specific skills. This course provides a comprehensive foundation in LLMs and equips you with the essential techniques of prompt engineering, enabling you to effectively guide AI for diverse applications. What you'll learn: * Understand the foundational concepts and architectures of large language models (LLMs). * Apply core prompt engineering principles to elicit desired responses from LLMs. * Craft effective prompts using techniques like few-shot learning and chain-of-thought prompting. * Evaluate and refine prompts to improve the accuracy and relevance of LLM outputs. * Recognize the ethical considerations, limitations, and potential biases in LLM applications. * Explore different types of LLMs, including decoder-only and encoder-decoder architectures. The course begins with an exploration of LLM fundamentals, then progresses to practical prompt engineering strategies, culminating in techniques for refining and evaluating your prompts. This course is designed for absolute beginners with no prior experience in artificial intelligence or large language models. Begin your journey into the exciting world of large language models and prompt engineering today.