Together AI introduces Continued Fine-tuning for LLMs
Action Required
Organizations can now continuously adapt and improve their LLMs without the risk of significant performance degradation, leading to more responsive and accurate AI applications.
AI Impact Summary
Together AI is introducing continued fine-tuning, allowing users to iteratively improve existing LLM checkpoints by specifying a previous checkpoint as the starting point. This addresses the challenge of catastrophic forgetting when fine-tuning, enabling more efficient adaptation to new data, languages, or tasks. This capability is particularly valuable for scenarios involving shifting data distributions, multilingual adaptation, and incremental knowledge acquisition, offering a resource-efficient alternative to full retraining.
Affected Systems
- Date
- Date not specified
- Change type
- capability
- Severity
- high