Large Language Model producing small gains in your business?
You need better data not more data.
LLM
LLMs get a lot of attention - but any model is only as good as its underlying data.
In the ongoing effort to build better, faster, and smarter models, there’s often an effort to gather and use more and more data. But the focus should instead be on using the right data - relevant to the model’s primary purpose, accurate, and with strong predictive signals. That data is not always found in traditional structured formats: unstructured files (images, video, audio, .pdfs, chat logs, etc.) can yield a wealth of features. DataInFormationSM curates and calibrates your data - so your LLM can produce sizable gains.
Case Study
If you demand accuracy from your Large Language Models, be sure the underlying data is relevant, accurate, and complete.
Explore our case studies to learn how we enable clients to get more value from their LLM platform.
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