Overview
Curriculum
In this module, we will explore the world of large language models (LLMs), including their components, how they process information, and the challenges of adopting them in enterprise settings. We will also learn about embeddings, vector databases, and techniques like fine-tuning and in-context learning to customize LLMs for specific tasks. By the end, we’ll have built a foundational understanding of LLMs.
What You'll Learn
- Understand the fundamental components and workings of large language models
- Explore techniques like fine-tuning, prompt engineering, and in-context learning to customize LLMs for specific tasks
- Analyze the challenges faced by enterprises in adopting LLMs, including human behavior and business barriers
- Evaluate the risks and challenges in LLM adoption, including prompting brittleness and legal exposure
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