Large language models (LLMs) like GPT-4o have vast information but may not fit specific business needs with proprietary data. In an interview with Eric Boyd from Microsoft, the concept of custom AI is explored, where companies can effectively build on existing LLMs. Microsoft provides infrastructure via Azure AI Foundry for training and managing these models, combining GPUs with a catalog of AI models for tailored applications. This approach allows businesses to harness advanced AI while accommodating specialized or private information requirements.
At Microsoft, we help companies access everything from thousands of GPUs to build and train their own AI models, to the tools needed to manage that, to a catalog of AI models, large and small.
Building a custom AI means starting with a base model like GPT-4o and tailoring it to fit proprietary or specialized needs, making AI applications relevant to specific business contexts.
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