How We Built Domain Adapted Foundation Genai Models To Power Our Platform
- Source
- linkedin.com
- Author
- LinkedIn Engineering
- Date
Context
LinkedIn developed EON models to reuse professional-domain training across several AI features. The models learn from examples covering multiple tasks and their reasoning, followed by preference and safety . One application is Hiring Assistant's candidate evaluator, which reads profiles, résumés, recruiter notes and job requirements, then returns a match assessment with an explanation. LinkedIn reported that this evaluator accounted for nearly 90% of language-model calls in that workflow, and said the model behind it must be fast and accurate at that scale. In LinkedIn's own testing, the EON-8B model supporting it matched candidates to job requirements more accurately than GPT-4o mini by an absolute 4%; the post does not publish the details.
- alignment — The work of making AI systems actually pursue what their builders and users intend, rather than something subtly or dangerously different.
- eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
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