🔥 Live Demo: Reinforcement Fine-Tuning for LLMs — Build Smarter Models with Less Data l Tutorial скачать в хорошем качестве

🔥 Live Demo: Reinforcement Fine-Tuning for LLMs — Build Smarter Models with Less Data l Tutorial

Tired of labeling thousands of examples just to fine-tune your LLM? There’s a better way — it’s called Reinforcement Fine-Tuning (RFT). 💡 In this hands-on webinar, the Predibase team introduces the first end-to-end RFT platform designed to supercharge LLM customization with minimal data — and maximum control. Whether you're working with open-source LLMs or enterprise AI models, this session will show you how to go from prototype to production using cutting-edge GRPO-based fine-tuning workflows. 👇 What You’ll Learn: ✅ What is Reinforcement Fine-Tuning (RFT) and how it works ✅ When to use RFT vs Supervised Fine-Tuning (SFT) ✅ Real-world use cases: code generation, multi-step reasoning, math tasks ✅ How to write reward functions and dynamically update them ✅ Live demo of RFT training with observability tools ✅ Behind the scenes of Predibase's managed infrastructure (Lorax, GRPO) ✅ Why RFT beats SFT for many modern ML workflows 🔗 Slides: https://go.predibase.com/hubfs/Predib... 🔗 Notebook: https://colab.research.google.com/dri... 👉 Try it free: https://pbase.ai/4brbC8u 👉 Schedule a live demo: https://pbase.ai/41FZKfy 👉 Learn more: https://pbase.ai/Intro-RFT-platform 🔔 Don’t forget to LIKE, COMMENT, and SUBSCRIBE for the latest on LLM fine-tuning, AI scaling, and reinforcement learning hacks! 👉   / @predibase   Special thanks to ‪@DevIntheDetails‬ ! #llm #reinforcementlearning #finetuning #rft #aiinfrastructure #machinelearning #opensourceai #datascience #grpo #Predibase #mlops #LLMTraining #CustomLLM #MLTools #MLEngineering 00:00 - Intro – Why RFT is the Future of LLM Customization 02:30 - Meet the Engineers Behind Predibase RFT 05:00 - What is Reinforcement Fine-Tuning (RFT)? 07:45 - RFT vs SFT – When to Use Each 10:10 - Top Use Cases for RFT: Code, Math, Reasoning 14:20 - How Reward Functions Work in RFT 18:40 - Live Use Case: Function Calling & Model Errors 23:30 - Writing and Updating Reward Functions 28:15 - Live Demo – Training a Model with RFT on Predibase 34:00 - Behind the Scenes of Managed RFT 39:00 - Enterprise-Ready Features of Predibase RFT 42:00 - Live Q&A with the Founders and Engineers