Transform OpenAI gpt-oss Models into Domain Experts with Together AI Fine-Tuning

What this post added

This post details the integration and fine-tuning capabilities for OpenAI's gpt-oss-120B and gpt-oss-20B models on the Together AI platform. It specifically highlights the use of LoRA fine-tuning, a 16K context window for supervised fine-tuning (SFT), and an 8K context window for direct preference optimization (DPO). The post emphasizes the platform's ability to abstract away the complexities of distributed training infrastructure, memory allocation, and resource utilization for these large models, offering a simplified three-step process for users to upload data, configure parameters, and launch fine-tuning jobs.