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.
The difference
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.
Your Turn
What would you build with a model that never has to leave your laptop? 👇
📣 Help us spread the word
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:
- ▶️ YouTube: @MajorLeagueHacking
- 📸 Instagram: @mlhacks
- 🐦 X: @mlhacks
- 💼 LinkedIn: Major League Hacking
- 💬 Discord: Join the MLH community
Top comments (0)