Model Distillation in the API
Analysis
The article highlights a new feature on the OpenAI platform: model distillation. This allows users to fine-tune a less expensive model using the outputs of a more powerful, but likely more expensive, model. This is a significant development as it offers a cost-effective way to leverage the capabilities of large language models (LLMs). The focus is on practical application within the OpenAI ecosystem.
Key Takeaways
Reference
“Fine-tune a cost-efficient model with the outputs of a large frontier model–all on the OpenAI platform”