Open Source vs Closed AI Models — Simple Difference

Hassam Akbar · Beginner ·🧠 Large Language Models ·4mo ago

Key Takeaways

Explains the difference between open source and closed AI models

Original Description

In this video, I explain the real difference between open source and closed models. Open source models are public — you can download them, modify them, fine-tune them, and even self-host on your own servers. You control the system and take full responsibility. Examples include Llama by Meta, Mistral models, and DeepSeek. These give you flexibility and deeper technical ownership. Closed models are private. You access them through an API, and the company controls updates, limits, and usage policies. Examples include ChatGPT, Anthropic’s Claude, and Gemini. You get convenience and power — but not full control. #OpenSourceAI #LLMs #AIEducation #MachineLearning #techexplained
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