Llama for Python Programmers
Llama for Python Programmers is designed for programmers who want to leverage the Llama 2 large language model (LLM) and take advantage of the generative...
By Christopher Brooks on Coursera
About This Course
Llama for Python Programmers is designed for programmers who want to leverage the Llama 2 large language model (LLM) and take advantage of the generative artificial intelligence (AI) revolution. In this course, you’ll learn how open-source LLMs can run on self-hosted hardware, made possible through techniques such as quantization by using the llama.cpp package. You’ll explore how Meta’s Llama 2 fits into the larger AI ecosystem, and how you can use it to develop Python-based LLM applications. Get hands-on skills using methods such as few-shot prompting and grammars to improve and constrain Llama 2 output, allowing you to get more robust data interchanges between Python application code and LLM inference. Lastly, gain insight into the different Llama 2 model variants, how they were trained, and how to interact with these models in Python. 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.
Topics Covered
Frequently Asked Questions
How much does Llama for Python Programmers cost?
Visit the Llama for Python Programmers course page for current pricing and available discounts.
Who teaches Llama for Python Programmers?
Llama for Python Programmers is taught by Christopher Brooks, University of Michigan.
What skill level is Llama for Python Programmers for?
This course is designed for all levels learners.
Similar Courses
HTML & CSS Coding for Beginners: Build your own portfolio!
Chris Dixon
Maya for Beginners: Animation
Lucas Ridley
JavaScript for Beginners (includes 6+ real life projects)
Kalob Taulien
Beginner Bootstrap 4: Hand code beautiful responsive websites fast
Chris Dixon