Reka emerges from stealth to build custom AI models for the enterprise

Large language models (LLMs) like OpenAI’s GPT-4 are all the rage these days, owing to their unparalleled ability to analyze and generate text. But for organizations looking to leverage LLMs for specific tasks — say, writing ad copy in a brand’s style — their generalist nature can become a liability.
When the instructions get too precise, even the best LLMs struggle with consistency. Fine-tuning, or narrowing an LLM’s scope, is one solution. But it’s often challenging from a technical standpoint, not to mention costly.
Motivated to find an easier way, a team

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