Getting Started with Gen AI: LangChain, LLAMA3 & Ollama

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Getting Started with Gen AI: LangChain, LLAMA3 & Ollama , Develop your chatbot, run it locally, and have a Q&A session without internet access to ensure your data remains secure.

Course Description

In the “Getting Started with Gen AI: LangChain, LLAMA3 & Ollama” course for beginners, you’ll gain knowledge in five steps:

First, you’ll learn how to download and install essential Generative AI tools like the LLaMA3 model, LangChain, and Ollama. This step-by-step process ensures you have all the necessary tools to get started.

Second, you’ll run a prebuilt Local LLM chatbot offline. This means you can type your questions and see how beautifully the LLM chatbot answers them without needing internet access, ensuring your data remains secure and private.

Third, you’ll learn to install Python and Visual Studio Code, and have the locally running LLM generate basic Python code for you. This provides hands-on experience with AI-generated code and helps you understand how the LLM can assist in coding tasks.

Fourth, you’ll learn the importance of writing clear requirements. This clarity helps us precisely define our LLM chatbot’s functionality and ensures we have a well-structured plan for development.

Fifth, you’ll step-by-step understand the prewritten code to build the LLM chatbot using Python, LLAMA3, LangChain, and Ollama. You’ll have the choice to either use the prewritten code or write your own code to build and run your LLM chatbot. Once again, you’ll see how beautifully the LLM chatbot answers your questions without needing internet access.

The course offers a basic and simple guide, providing hands-on experience throughout the LLM chatbot development process, ensuring you gain both foundational knowledge and practical skills to create and manage your own LLM chatbot effectively.

Who this course is for:

  • This course is for both technical and non-technical professionals who want to gain basic knowledge of Generative AI. It teaches participants how to learn and build a local Large Language Model that runs on their desktop or laptop without requiring internet access, ensuring their data remains secure.
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