
When people call an AI model "open," they don't always mean the same thing. On this week's Prompt...
When people call an AI model "open," they don't always mean the same thing.
On this week's Prompt Pad, @rosendo_pili breaks down open-weight models using Google's Gemma as an example.
{% youtube https://youtube.com/shorts/PoeWp99ayUk %}
An open-weight model gives you the trained model itself. You can download it, run it on your own machine, and fine-tune it for your project.
Open-source asks for more. It means the full recipe is available to study, change, and share: the code, and for AI, details like the training data and process.
What would you build with a model that never has to leave your laptop? 👇
Know someone who thinks "open" always means open source? Send them this video. And subscribe so you don't miss the next Prompt Pad episode:
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