Master the architecture of LLMs like GPT-4, learn iterative prompt engineering, and discover practical use cases.
What you will learn
Understand how LLMs work, including their architecture, training process, and key parameters.
Learn effective prompt customization techniques, including iterative development, structuring prompts, and identifying roles.
Discover how to optimize LLM performance through parameter adjustment, including temperature, top-p, and max tokens.
Explore practical use cases in data analytics, sentiment analysis, and content creation to apply LLMs effectively.
Gain insights of ethical considerations in LLM use and learn best practices for responsible deployment.
Learn step-by-step tutorials on leveraging prompt engineering platforms, facilitating collaboration among teams, and maximizing productivity.
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