Running open-source large language models (LLMs) on your computer ensures data privacy, cost savings, and customization. This guide discusses the prerequisites, differences between cloud-based and self-hosted AI, and provides a step-by-step tutorial on using Ollama to manage and run LLMs locally. Fine-tuning models for specific tasks and the potential benefits of self-hosting, such as enhanced data security and reduced latency, are also covered.

12m read timeFrom freecodecamp.org
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Table of contents
PrerequisitesWhat is an LLM?Cloud-Based AI vs. Self-Hosted AIHow Can You Run LLMs Locally on Your Machine?Building a Chatbot with Your Newly Installed ModelHow to Customize Your Models with Fine-TuningWhat Are the Benefits of Self-hosted LLMs?When Should You NOT Use a Self-hosted AI?Conclusion

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