So get this, OpenAI just announced that they’re teaming up with Scale, this data labeling startup based in San Francisco. They’re joining forces to let more companies take full advantage of their incredible text generating model, GPT-3.5. How cool is that?
In their blog post, OpenAI mentioned that Scale is their go-to partner for expanding the benefits of fine-tuning. See, Scale is experienced when it comes to helping companies securely and effectively use data for AI. So it’s a perfect match.
But here’s the really exciting part. OpenAI is actually offering Scale customers the chance to fine-tune their models, just like they would with OpenAI. And let me tell you, these customers are in for a treat because Scale knows their stuff when it comes to enterprise AI and their Data Engine is top-notch.
According to Brad Lightcap, the COO of OpenAI, “Scale extends our ability to bring the power of fine-tuning to more companies, building on their enterprise AI experience to help businesses better apply OpenAI models for their unique needs.” That’s what I call a win-win.
Now, brace yourselves. Wait for it… OpenAI recently announced that fine-tuning for GPT-3.5 Turbo is now available, and they’ll soon be rolling out fine-tuning for GPT-4 this fall. Game changer, right? With GPT 3.5 Turbo, businesses and developers can customize the model to fit their specific needs by training it on their own data and running it at scale. That’s some serious customization power.
And let’s not forget about Scale. This company, founded in 2016, has this amazing Generative AI Platform that takes enterprise data and molds powerful base generative models to unlock AI’s true potential, safely and securely.
Alexandr Wang, the Founder and CEO of Scale AI, couldn’t contain his excitement about this partnership. He said, “We are excited to partner with OpenAI to supercharge model performance – helping every enterprise utilize AI most effectively for their unique needs. Prompting alone—atop even the best LLMs like GPT-3.5 — is not enough model customization to produce the most accurate, efficient results. As with software, an incredible amount of value comes from fine-grained optimizations, and fine tuning is critical for that.” It’s clear that both OpenAI and Scale are committed to pushing the boundaries of AI.
Oh, and here’s an interesting tidbit. Scale has worked with this financial service and technology company called Brex before. And let me tell you, it was a success. Scale used the GPT-3.5 fine-tuning API on Brex’s data annotated with their Data Engine, and guess what? That fine-tuned GPT-3.5 model outperformed the stock GPT-3.5 turbo model a whopping 66% of the time. Now that’s some serious improvement.