Instructor: Christopher Brooks

What you'll learn

  •   Understand how to use llama.cpp Python APIs to build Llama 2-based large language model (LLM)applications.
  •   Learn to run and interact with the Llama 2 large language model on commodity local hardware.
  •   Learn to utilize zero- and few-shot prompting as well as advanced methods like grammars in llama.cpp to enhance and constrain Llama 2 model output.
  •   Learn about the different Llama 2 model variants: the base model, chat model, and code llama and how to interact with these models in Python.
  • Skills you'll gain

    There are 3 modules in this course

    This course does not require a data science or statistics background. It is developed specifically for Python application developers who are interested in integrating generative AI, such as Llama 2, into their work.

    Under the Hood with Llama2 and Python: Understanding How it Works

    Building a Llama 2 Application

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