Jan. 30, 2024, 8:59 p.m. | Kane Hooper

Hacker Noon - ai hackernoon.com

Explore a Rubyist's journey in implementing a custom AI solution using open-source models for maximum data security. The guide covers the rationale behind opting for open source with sensitive customer information, the process of running open-source AI models locally using Ollama, and customization of models for specific use cases. With practical examples and insights, Ruby developers can leverage local AI models securely while maintaining control over sensitive data.

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ai ai applications ai models ai solution cases customer customization data data security explore guide information journey ollama open source open-source ai open-source models personal ai practical process ruby ruby on rails running security solution use cases

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

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@ G2i Inc | Remote

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@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

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@ Cere Network | San Francisco, US