What AI Models to Use? Choosing the Right AI Model for Your Needs

Whether you’re building chatbots, automating workflows, or developing AI-driven apps, the right AI model can make a huge difference in performance, security, and cost.

This post is still a work in progress as I experiment with different models, implement various use cases, and try to understand concepts like evaluation (evals).

Comparing AI Models

Which One Should You Use?

Considerations When Picking an AI Model

Data Privacy

When choosing an AI model, data privacy should be a key factor. If you’re working with sensitive or proprietary data, you might prefer an open-source, self-hosted model like LLaMA or Mistral to ensure full control over data.

Cloud-based models like OpenAI’s GPT-4 or AWS Bedrock handle data differently, often with retention policies or logging mechanisms, so be sure to review their documentation and terms before implementation.

Other AI Models to Explore

This is not a complete list, as the AI landscape is constantly evolving. Here are some additional AI models worth considering:

Check the following link (super recommended) for an updated list MetaSchool’s AI Models Directory.

Choosing the right AI model is an iterating process, and I’m continuing to explore/experimenting these options myself. If you’re also testing different models, let’s exchange insights!