Alright folks, check this out! OpenAI just dropped a big announcement about their latest development in AI. They’ve introduced fine-tuning for GPT-3.5 Turbo, the powerful AI model that fuels the free version of ChatGPT. And let me tell you, this is some next-level stuff.
So, what exactly is fine-tuning? Well, it’s the process of taking a pre-trained neural network, like GPT-3.5 Turbo, and training it further on a different dataset that’s more specific to a particular task. It’s like giving the model a crash course in custom content, such as your company documents or project documentation. This allows you to create an AI assistant that knows your product inside and out, even if it didn’t have that knowledge during its initial training phase.
Now, here’s the juicy part. OpenAI claims that fine-tuned models can perform just as well as GPT-4, the more powerful cousin of GPT-3.5, but at a lower cost and faster execution time. That means you can get GPT-4-level performance in a specific knowledge domain without breaking the bank. Imagine the possibilities!
But that’s not all. OpenAI says that fine-tuned models offer some awesome benefits. They provide improved steerability, which means they follow instructions better. They have reliable output formatting, meaning they consistently output text in a specific format. And they even have custom tone, allowing you to give your chatbot a unique flavor or personality.
Now, I know what you’re thinking. How much does all of this cost? Well, it’s not exactly cheap, but it’s definitely worth considering. The training costs for GPT-3.5 are $0.008 per 1,000 tokens, while API access during the usage phase costs $0.012 per 1,000 tokens for text input and $0.016 per 1,000 tokens for text output. It’s important to note that the fine-tuned model is about eight times more expensive to run than the base GPT-3.5 Turbo model. But hey, sometimes you have to pay a little extra for that extra performance.
Now, let’s talk data privacy. OpenAI wants you to know that they’re not using your data to train their AI models. So you don’t have to worry about that. However, they will be sending all customer fine-tuning training data through GPT-4 for moderation purposes, using their newly announced moderation API. Just something to keep in mind.
And here’s a little teaser for you. If GPT-3.5 isn’t cutting it for you, fear not! OpenAI is planning to roll out fine-tuning for GPT-4 later this fall. Now, that’s something to look forward to. GPT-4 is known to be more reliable and less likely to make things up, but be prepared for a higher price tag.
So there you have it, folks. OpenAI is taking AI to new heights with fine-tuning for GPT-3.5 Turbo. It’s an exciting time to be in the world of artificial intelligence. Remember, the future is now!