OpenAI Brings Fine-Tuning to GPT-3.5 Turbo Model

OpenAI Brings Fine-Tuning to GPT-3.5
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OpenAI, the creator of the world-famous conversational chatbot ChatGPT, has recently unveiled fine-tuning to its GPT-3.5 Turbo model. The purpose of releasing this feature is to invent supervised products that excel at peculiar tasks. OpenAI claims that the fine-tuned version of the GPT-3.5 can match and, in some cases, even outperform one of the most advanced natural language processing models, GPT-4.

According to the ChatGPT creator, the GPT-3.5 model can be fine-tuned using their own data. In the context of Artificial Intelligence, fine-tuning refers to the process of providing additional data to a model like GPT-3.5 Turbo to nurture a focused model capable of handling peculiar tasks.

This announcement means that customers will be able to create a bot based on GPT-3.5, trained specially to offer reliable experiences or use concise wording. With the help of fine-tuning, developers will be able to utilize this ability to craft AI assistants, documentation engines, or any custom application in your desired tone.

OpenAI Brings Fine-Tuning to GPT-3.5 Turbo

It is also pertinent to mention, however, that the training material will not be used to train OpenAI models. Another key point to note is that GPT-3.5 Turbo is capable of handling 4,000 singular tokens at once. The ability to handle the content of a length of more than 16000 will be introduced in the later versions.

Talking about the price range, users can fine-tune GPT-3.5 Turbo at a rate of $0.0080 per 1000 tokens for training. For 1000 tokens for input usage and the chatbot’s output, the cost is $0.0120 each. In simpler words, you will have to pay approximately $2.40 per 75000 words to fine-tune the model.

Even though GPT-3.5 Turbo isn’t the most advanced chatbot developed by OpenAI – GPT-4 holds precedence in that regard – the former’s ability to be fine-tuned is set to make it a lot more popular.

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