Heux Heur: Final strengthening
Heux Heur: Final strengthening


https://www.youtube.com/watch?v=ywloo_Fc5oa
Author: OPENAI – Duration: 00:59:48
The reinstallation of the fine setting (RFT) allows you to improve the way in which the models reason by training with students instead of large sets of labeled data. This time of construction shows you how to configure tasks, design rating functions and perform effective training loops with only a few hundred examples. Prashant Mital and Théophile Sautory (Ai Applied): – Intro to RFT: Optimization, Fine adjustment options, RFT advantages – Task Configuration: prompts, students and training data – Live demo: RFT construction and execution for a classification task – RFFhttps://accordance.com/)
– Q&R live 👉 Follow the code move: https://github.com/openai/build-hours
👉 RFT Cookbook: https://cookbook.openai.com/examples/reinForcement_fine_Tuning
👉 RFT use case guide: https://platform.openai.com/docs/guides/rft-usecases
👉 Register for the next hours of live construction: https://webinar.openai.com/buildhours






