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Introducing vision to the fine-tuning API

Developers can now fine-tune GPT-4o with images and text to improve vision capabilities

CodeFinetuner: Fine-tune a local code autocomplete model on your own codebase

Hi everyone, I was interested in learning LoRA fine-tuning, and ended up building CodeFinetuner over the past few months, a full pipeline that fine-tunes a small code autocomplete model (e.g. Qwen2.5-Coder-3B) specific to a codebase. You...

Fine-tuning GPT-3 to scale video creation

Fine-tuning GPT-3 to power and scale done-for-you video creation.

Fine-tuning GPT-2 from human preferences

We’ve fine-tuned the 774M parameter GPT-2 language model using human feedback for various tasks, successfully matching the preferences of the external human labelers, though those preferences did not always match our own. Specifically, f...

Building smarter maps with GPT-4o vision fine-tuning

Building smarter maps with GPT-4o vision fine-tuning

Estimating worst case frontier risks of open weight LLMs

In this paper, we study the worst-case frontier risks of releasing gpt-oss. We introduce malicious fine-tuning (MFT), where we attempt to elicit maximum capabilities by fine-tuning gpt-oss to be as capable as possible in two domains: bio...

Introducing improvements to the fine-tuning API and expanding our custom models program

We’re adding new features to help developers have more control over fine-tuning and announcing new ways to build custom models with OpenAI.

OUI-1: a model that generates bespoke UI elements

so i saw that openui.com released OUI-1, a model fine-tuned on DiffusionGemma. the training dataset uses OpenUI-Lang, a custom DSL (domain-specific language), instead of plain HTML, Markdown, or React code. what makes it interesting is t...

How does Qwen 3.8 27B compare on low thinking mode to the older 3.6 models?

Since we know Qwen 3.8 27B thinks quite long, but gives at least a good one-shot result where you can leave it to do everything on it own, how does it compare to the older series of models for very simple tasks where you don't want to th...

Doppel’s AI defense system stops attacks before they spread

Doppel uses GPT-5 and reinforcement fine-tuning to stop deepfake and impersonation attacks, cutting analyst workloads by 80% and reducing response times from hours to minutes.

Introducing AgentKit, new Evals, and RFT for agents

Today, we’re releasing new tools to help developers go from prototype to production faster: AgentKit, expanded evals capabilities, and reinforcement fine-tuning for agents.

Toward understanding and preventing misalignment generalization

We study how training on incorrect responses can cause broader misalignment in language models and identify an internal feature driving this behavior—one that can be reversed with minimal fine-tuning.

OpenAI o1 and new tools for developers

Introducing OpenAI o1, Realtime API improvements, a new fine-tuning method and more for developers.

Model Distillation in the API

Fine-tune a cost-efficient model with the outputs of a large frontier model–all on the OpenAI platform

Fine-tuning now available for GPT-4o

OpenAI partners with Scale to provide support for enterprises fine-tuning models

OpenAI’s customers can leverage Scale’s AI expertise to customize our most advanced models.

GPT-3.5 Turbo fine-tuning and API updates

Developers can now bring their own data to customize GPT-3.5 Turbo for their use cases.

Learning to play Minecraft with Video PreTraining

We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to c...

WebGPT: Improving the factual accuracy of language models through web browsing

We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.

Customizing GPT-3 for your application

Fine-tune with a single command.