Amazon SageMaker AI announced that its serverless model customization jobs can now accept user‑defined sequence lengths. Previously the jobs ran with a fixed token count. Users can now set dataset_max_len for SFT and DPO jobs, or max_prompt_length and max_response_length for RFT jobs, up to the model’s published maximum—often 16,000 tokens. The feature is live in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo) and Europe (Ireland).
Why it matters
Developers can fine‑tune large language models on longer documents without writing custom training code.
