Together AI 推出持续微调功能，提升模型适配效率

AI 摘要

Together AI 宣布其微调平台新增持续微调功能，允许用户通过指定 --from-checkpoint 参数从先前检查点继续训练模型。文章深入探讨了持续微调的概念、应用场景（如多语言适应、任务性能提升）以及灾难性遗忘等挑战，并提供了相关代码示例。该功能旨在提高模型适配新任务和数据的效率，减少资源消耗。

正文节选

Keeping large language models updated with new knowledge and skills relevant to businesses remains challenging. Today, we announce a new feature of the Together Fine-Tuning Platform: continued fine-tuning. Simply stated, this feature allows you to build upon previously trained models by specifying the --from-checkpoint parameter, in which case fine-tuning will start from the previously specified checkpoint. In this deep-dive blogpost, we'll explore the ins and outs of continued fine-tuning, when

发布时间：—

抓取时间：2026-08-03 01:13

来源机构：Together AI