Training VLMs 'From Scratch'? It's a $100M Lie Nobody Buys Anymore
Labs ditched true scratch training after it devoured $100M in compute for mediocre results. Now it's all Frankenstein mods on pre-trained giants.
⚡ Key Takeaways
- VLMs aren't trained from scratch; they mod pre-trained ViT, Q-Former, and LMs to slash costs.
- Frozen backbones prevent overfitting; adapters like Q-Former bridge vision-text gaps.
- Modular approach commoditizes VLMs, predicting open-source dominance by 2028.
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Originally reported by Towards Data Science