Скачать или смотреть Using Supervised Fine-Tuning to Teach Qwen3 the Secrets No Other Model Knows.

Fine-tune Qwen3 with SFT – Customize Your Language Model Easily!

In this video, you’ll learn how to fine-tune the latest Qwen3 model using Supervised Fine-Tuning (SFT):

Prepare Training Data: Upload and manage datasets containing instruction-response pairs

Configure Training Parameters: Set key hyperparameters like learning rate and training steps

Launch Fine-tuning: Start training based on the Qwen3 base model

Generate Test Samples: Use a chat interface for real-time model testing

Save & Deploy: One-click saving of trained models and deployment to inference environments

Whether for AI assistants, code generation, content writing, or domain-specific Q&A, achieve more accurate and tailored text outputs with your customized Qwen3 model.

SFT makes language model adaptation simple and efficient, helping you deploy AI solutions faster.

Start your Qwen3 fine-tuning journey today:
Website: https://www.example-ai-platform.com
Documentation: Tutorials → Quick Start → Language Model SFT Fine-tuning

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