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Posted by Learnovate
Marc believes that if Language Learning Models (LLMs) can be tailored to train on smaller pools of private corporate knowledge while retaining their conversational spark, much potential will be unlocked. Today, the answers can still be unhelpful and generic, even with expert instruction, and this is substantial because they are trained on generic, public-domain content. Customizable LLMs should, in
theory, be able to suck up the specifics and detail of a corporate learning and knowledge corpus and answer employees’ questions with much greater context. Fine-tuning an LLM is possible today, but it’s
too early to judge definitively that they will achieve the nuance without losing any other advantages.
The Nutrition of Training Content & Six Regenerative Learning Considerations https://www.linkedin.com/pulse/framework-picking-right-generative-ai-project-marc-steven-ramos/
ABOUT MARC RAMOS
Marc Ramos is the Chief Learning Officer at Cornerstone. As a global learning leader with 25+ years’ experience with Google, Microsoft, Accenture, Novartis, Oracle and other global companies, Marc brings a unique and mission-critical perspective grounded on client success.
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