Learn to create LLM applications in your system using Ollama and LangChain in Python | Completely private and secure
Sub Category
- Data Science
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Objectives
- Download and install Ollama for running LLM models on your local machine
- Set up and configure the Llama LLM model for local use
- Customize LLM models using command-line options to meet specific application needs
- Save and deploy modified versions of LLM models in your local environment
- Develop Python-based applications that interact with Ollama models securely
- Call and integrate models via Ollama’s REST API for seamless interaction with external systems
- Explore OpenAI compatibility within Ollama to extend the functionality of your models
- Build a Retrieval-Augmented Generation (RAG) system to process and query large documents efficiently
- Create fully functional LLM applications using LangChain, Ollama, and tools like agents and retrieval systems to answer user queries
Pre Requisites
- Basic Python knowledge is recommended, but no prior AI experience is required.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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