Free Download Run Open-Source LLMs Locally with RAG: Secure and Unfiltered AI Course

If you want to answer your questions about ChatGPT and take your knowledge to the next level, the Run Open-Source LLMs Locally with RAG: Secure and Unfiltered AI Course is for you. You will learn about Llama3, Mistral, Grok, Falkon, Phi3, and Command R+ here.

We want to teach the students how to work with open-source LLMs. For that matter, they should learn the difference between open-source and closed-source models and know why open-source models are more attractive than others. You will learn about different models and learn to choose your model based on your needs.

The course helps you to run LLMs locally, and you will learn to install LM Studio using Huggingface or Google Colab and use vision models for image recognition. Prompt Engineering and Cloud Deployment is another section of the course, and you will learn to apply both basic and advanced prompt engineering techniques in your projects. The next section covers function calling and implementing vector databases, embedding models, and retrieval-augmented generation.

The instructor provides valuable tips on efficiently using tools like LlamaIndex, LlamaParse, and AI agents. The last section introduces text-to-speech (TTS) with Google Colab and how to fine-tune open-source LLMs with Google Colab.