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OpenAI to Make Fine-Tuning UI Available Soon

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OpenAI is likely to make fine-tuning UI available in the coming months according to Logan Kilpatrick. Users will have a seamless experience through the UI, allowing them to easily view their fine-tunes and create them effortlessly using the same interface, according to Kilpatrick.

The @OpenAI fine-tuning UI is here!

You can now see your fine-tunes directly and will be able to create them though the UI in the months to come!

We also bumped the concurrent training limit from 1 to 3 so you can fine-tune more models! pic.twitter.com/qQcQSWZUt7

— Logan.GPT (@OfficialLoganK) September 19, 2023

Furthermore, OpenAI has increased the concurrent training limit from 1 to 3, enabling users to fine-tune multiple models simultaneously. Currently, OpenAI permits developers to customize only a part of the model name using a suffix. However, in the future, developers might have the opportunity to customize the entire model name, as indicated by Kilpatrick.

Many developers around the world are hoping that OpenAI might make fine-tuning available at their inaugural developers’ conference ‘OpenAI DevDay’  which is taking place on November 6, 2023 in San Francisco. There has been a lot of anticipation about what the company is going to announce, though CEO Sam Altman has said that there is going to be no announcement about GPT-5.

Some predictions for OpenAI’s developer day on November 6th…

– Meaningful GPT-4 cost reduction
– Fine-tuning for GPT-4
– UI for fine-tuning
– Multimodal GPT-4 goes live
– DALL-E 3
– ChatGPT API (rethinking of plugins)

I bet I hit on at least 3.

— Mckay Wrigley (@mckaywrigley) September 15, 2023

Recently, OpenAI also silently unveiled “gpt-3.5-turbo-instruct,” a new instruction language model designed for giving specific instructions efficiently, similar to the chat-focused GPT-3.5 Turbo.

This new model will replace existing Instruct models and certain text-based models. It maintains the same cost and performance as other GPT-3.5 models within a 4K context window, using training data up to September 2021.

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