The author further explains how to set up and customize models using Ollama, and how to integrate them with Ruby using basic HTTP request methods. The author highlights the value of running local AI models for companies dealing with sensitive data, as these models can process unstructured data and extract valuable information. The author concludes by stating that while OpenAI is preferable where security is not an issue, open-source models are the way to go for companies needing private models.
Key takeaways:
- The article discusses the use of open source AI models for maintaining high levels of data security, particularly when dealing with sensitive customer information.
- The author recommends using the Mistral model for local use due to its performance and size, and suggests using Ollama software to run these models locally.
- The article provides detailed instructions on how to set up and customize these models using Ollama, and how to integrate them with Ruby.
- The author highlights the practical use cases of these models, particularly for companies dealing with sensitive data, and suggests that open source models are the way to go for companies that need private models.