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.

Read All

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

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Scientist

@ Publicis Groupe | New York City, United States

Bigdata Cloud Developer - Spark - Assistant Manager

@ State Street | Hyderabad, India