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OpenAI names Scale AI ‘most well-liked accomplice’ to fine-tune GPT-3.5

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A day after OpenAI introduced that it’s going to provide new built-in help for customers to fine-tune its GPT-3.5 Turbo massive language mannequin (LLM), which permits enterprises to deliver their proprietary information for coaching the mannequin and run it at scale, the corporate named Scale AI as its “most well-liked accomplice” to supply GPT-3.5 high-quality tuning.

“We’re excited to accomplice with OpenAI to supercharge mannequin efficiency — serving to each enterprise make the most of AI most successfully for his or her distinctive wants,” stated Alexandr Wang, founder and CEO of Scale AI, in a press launch. “Prompting alone — atop even the very best LLMs like GPT-3.5 — will not be sufficient mannequin customization to provide probably the most correct, environment friendly outcomes. As with software program, an unbelievable quantity of worth comes from fine-grained optimizations, and high-quality tuning is crucial for that.”

Scale AI provides fine-tuning experience

In a press launch, Scale stated the partnership “brings collectively OpenAI’s superior base mannequin GPT-3.5 with Scale’s fine-tuning experience and industry-leading Information Engine to assist each firm create customized state-of-the-art fashions for his or her particular enterprise wants.” Scale’s Information Engine accelerates the event of fashions by producing prompts and rating mannequin outputs.

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Scale stated it already performs fine-tuning for a lot of business and open-source fashions. “As OpenAI’s most well-liked fine-tuning accomplice for GPT-3.5, we’re excited to leverage their highly effective APIs to assist much more enterprises construct probably the most highly effective customized LLMs that enhance effectivity whereas decreasing prices,” the press launch stated.

Brad Lightcap, COO of OpenAI, stated that “Scale extends our capability to deliver the facility of fine-tuning to extra firms, constructing on their enterprise AI expertise to assist companies higher apply OpenAI fashions for his or her distinctive wants.”

A fine-tuning pilot program confirmed promise

Scale AI, a buzzy unicorn firm that shot to fame as an information labeling service and loved a $7 billion valuation in April 2021, has had an up and down yr — it laid off 20% of its 700-person employees again in January, however bounced again with the launch of a full-stack generative AI platform in Might.

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Now, it’s touting a fine-tuning case research with fintech firm Brex, which has been utilizing LLMs to generate high-quality expense memos that assist ease the burden of compliance necessities for workers.

In accordance with the Scale press launch, the Brex workforce had beforehand been utilizing GPT-4 for memo technology, however needed to discover if they may enhance price and latency, whereas sustaining high quality, through the use of a fine-tuned GPT-3.5 mannequin.

“Through the use of the GPT-3.5 fine-tuning API on Brex information annotated with Scale’s Information Engine, we
noticed that the fine-tuned GPT-3.5 mannequin outperformed the inventory GPT-3.5 turbo mannequin 66%
of the time,” the press launch stated.

Henrique Dubugras, CEO at Brex, stated that “our ongoing partnership with OpenAI and Scale AI place us on the innovative by using state-of-the-art strategies to reinforce worker compliance and assist finance groups shut the books quicker. Particularly, fine-tuning GPT-3.5 has been a sport changer for us, enabling us to ship high-quality AI experiences, akin to GPT-4, with a lot decrease price and decrease latency. This unlocks an entire new set of capabilities for us that have been beforehand not viable.”

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