The advent of ChatGPT in November 2023 marked a turning point in the accessibility of large language models (LLMs), leading to a surge in interest in running these models locally on desktop environments. While solutions like ChatGPT's API endpoints and Mistral offer high-performance and cost-effective alternatives, concerns around data privacy and security have prompted some organizations to seek on-premises solutions. This blog post explores one such solution - Ollama, a user-friendly tool designed for running open-source LLMs on personal computers. With a focus on simplicity and efficiency, Ollama streamlines the process of engaging with powerful language models for users who want to concentrate on specific tasks without being bogged down by technical complexities.
This is a companion discussion topic for the original entry at https://www.nekonik.com/blog/running-open-source-llms-locally-using-ollama
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