FeaturedUdemy
Working with Llama 3
4.8(2,219)14k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate course guides developers and AI practitioners through utilizing the open-source Llama large language model. Using llama-cpp-python, you will run Llama locally, apply prompt engineering techniques, maintain conversation histories, and produce structured outputs for automated workflows.
Who It's For
Developers and AI engineers looking to run Llama locally and integrate open-source LLMs into structured application workflows.
Key Takeaways
- Local Execution: Set up and interact with local Llama model instances using the llama-cpp-python library.
- Prompting & History: Apply prompt engineering to guide responses and maintain stateful conversational context.
- Structured Outputs: Format LLM outputs into structured data ready for programmatic integration into automated pipelines.
About this course
Learn to use the Llama Large-Language Model (LLM)
What is the Llama LLM, and how can you use it to enhance your projects? This course will teach you how to run Llama locally, guide its responses using prompt engineering, and build structured and context-aware conversations.Understand the Llama model and its applications
You'll start with an introduction to the foundational concepts of Llama, learning how to interact with Llama models and exploring their use cases. You'll gain hands-on experience setting up, running, and interacting with the model using the llama-cpp-python library. As you progress, you'll apply techniques to refine Llama’s responses, maintain conversation history, and generate structured outputs ready to be integrated into automated workflows.This is an ideal introduction to Llama for developers and AI practitioners. It explores the foundations of this powerful open-source LLM and how to apply it in real-world scenarios.
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