Transferable post-training learnings across model versions and families
Portal: transfer learnings from one post-train to another. Do a LoRA-style post-train on one model, then project the learned latent onto newer versions of the same family or even different model families — amortizing the cost of post-training instead of repeating it for every model release.
online B2B Deep Tech / Infrastructure
From AI Engineer — Our Smaller Model Beat Opus on Finance Tasks - Alexander Shevchenko, Ramp at 12:18
Problem: Post-training investment is stranded when the base model is superseded; transferable latents let the training cost amortize across model generations.
For: Teams that post-train models and face repeating the work every time a new base model ships.
Products from this video
Examples
- Ramp Labs' Portal project, described on the Ramp Labs blog
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