Improving Accuracy of LLM Applications

Instructors: Sharon Zhou +1 more

What you'll learn

  •   Understand development steps, from evaluation, through prompting, self-reflection, and fine-tuning, to improve your model’s reliability and accuracy.
  •   Learn how memory tuning can increase your model performance by embedding facts into your model to reduce hallucination.
  •   Use the Llama 3-8b model to build an LLM application that converts text to SQL with a custom schema.
  • Skills you'll practice

  •   Generative AI
  •   Performance Tuning
  •   Prompt Engineering
  •   Query Languages
  •   Large Language Modeling
  •   Test Data
  •   Data Quality
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