Open Source LLMs vs Open Weight LLMs vs Proprietary LLMs

This article distinguishes between open source, open weight, and proprietary LLMs based on their transparency, accessibility, and customization potential. It explains that while true open source models make training data and code public, open weight models like Llama allow for local fine-tuning without revealing their training secrets. In contrast, proprietary models like GPT are accessed via APIs, though hyperscalers can provide them through isolated environments to enhance data privacy and security.