Oct 1, 2024 · Model distillation involves fine-tuning smaller, cost-efficient models using outputs from more capable models, allowing them to match the performance of advanced models on …

1 day ago · Overview of Distillation in Azure OpenAI Service. Azure OpenAI Service distillation involves three main components: Stored Completions: Easily generate datasets for distillation …

Nov 19, 2024 · We're excited to introduce our upcoming release of Model Distillation feature in Azure OpenAI Service. This feature provides developers with a seamless, integrated workflow …

Oct 8, 2024 · Learn how to distill LLMs with OpenAI's distillation tool. This tutorial provides a step-by-step guide using GPT-4o and GPT-4o-mini for generating Git commands.

Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform.

1 day ago · According to Stratechery author and tech analyst Ben Thompson, distillation is likely already being used by companies like OpenAI, Anthropic and Google to optimize their models …

OpenAI recently released Distillation which allows to leverage the outputs of a (large) model to fine-tune another (smaller) model. This can significantly reduce the price and the latency for …

Oct 2, 2024 · We’re introducing a new Model Distillation workflow. Use outputs from larger models like GPT-4 or o1-preview to train smaller, cost-efficient models that deliver similar performance …

Aug 6, 2024 · Distillation allows you to turn your stored completions into a fine-tuning dataset. A common use case is to use stored completions with a larger more powerful model for a …

Oct 3, 2024 · The model distillation capability introduced inside OpenAI API includes three components — Stored Completions, Evals, and Fine-tuning — all of which can be accessed …