In a groundbreaking development, OpenAI has partnered with The Scale team, an esteemed collaborator, to introduce an innovation poised to redefine the world of AI solutions. The core of this innovation lies in fine-tuning—an art mastered by Scale, believed to be the key to unleashing the true potential of Language Model Machines (LLMs) for organizations across the globe. This partnership seamlessly combines OpenAI’s advanced GPT-3.5 base model with Scale’s unparalleled expertise in fine-tuning and their top-tier Data Engine. The outcome is nothing short of remarkable: Every company can now craft bespoke, cutting-edge models tailored precisely to their unique business needs. Scale’s reputation as a fine-tuning authority is well-established, and as OpenAI’s preferred partner for fine-tuning GPT-3.5, they’re positioned to empower even more enterprises in building custom LLMs that optimize efficiency while minimizing costs.
Fine-Tuning: A Game-Changer in Action
The impact of fine-tuning GPT-3.5 is already evident, as showcased through success stories like that of Brex. As OpenAI’s chosen collaborator, Scale received exclusive early access to GPT-3.5’s fine-tuning APIs. By seamlessly integrating these APIs with Scale’s enterprise Custom LLM platform and harnessing high-quality data from Scale’s Data Engine, they achieved remarkable performance enhancements for Brex.
Brad Lightcap, COO of OpenAI, emphasizes, “To maximize the potential of our models, companies seek to harness their data for tailored services and solutions. Scale extends our capacity to bring fine-tuning’s power to more businesses, leveraging their enterprise AI expertise to better apply OpenAI models according to their unique needs.”
Brex, for instance, has harnessed LLMs to generate high-quality expense memos, streamlining compliance requirements for employees. This automation not only saves significant time in the expense workflow but also enables companies to expedite their financial reconciliations. Initially utilizing GPT-4 for memo generation, Brex sought to explore potential cost and latency improvements while maintaining quality, by embracing a fine-tuned GPT-3.5 model.
Upon applying the GPT-3.5 fine-tuning API to Brex’s data annotated with Scale’s Data Engine, the results were nothing short of astonishing. The fine-tuned GPT-3.5 model outperformed the stock GPT-3.5 turbo model an impressive 66% of the time.
Henrique Dubugras, CEO of Brex, shares his insights, “At Brex, we’ve made substantial investments in AI, transforming how we deliver financial services to our customers. Our ongoing partnership with OpenAI and Scale AI places us at the forefront, employing state-of-the-art techniques to enhance employee compliance and accelerate financial closing processes. Fine-tuning GPT-3.5 has truly been a game changer, enabling us to deliver AI experiences of the highest quality, akin to GPT-4, but with significantly reduced costs and latency. This unlocks a whole new realm of possibilities for us that were once inconceivable.”
Getting Started: Transforming Possibilities into Reality
The pilot project with Brex serves as a compelling testament to the pivotal role of fine-tuning LLMs in achieving remarkable outcomes.
Alexandr Wang, Founder and CEO of Scale AI, underscores the significance of fine-tuning, stating, “We are thrilled to collaborate with OpenAI to turbocharge model performance, enabling every enterprise to harness AI most effectively for their unique requirements. Prompting alone, even atop the best LLMs like GPT-3.5, falls short of achieving the most accurate and efficient results. Similar to software, immense value lies in fine-grained optimizations, and fine-tuning is the linchpin for that.”
Scale’s journey commences by preparing and enhancing your data using the Scale Data Engine. Subsequently, they fine-tune GPT-3.5 with your data, further customizing models with plugins and retrieval augmented generation, enabling them to reference and cite your proprietary documents in their responses. To ensure the model surpasses your performance expectations and safety requirements, Scale leverages their Test and Evaluation platform and relies on trained domain experts.
Discover more about how Scale can empower you to customize LLMs for your unique use cases. Together, let’s embark on this transformative AI journey that promises to reshape the future of enterprise AI solutions!
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