Part 8/9:
While proprietary solutions like ChatGPT or Google Bard remain popular, open models provide compelling supplementary options. They are especially beneficial for use cases demanding privacy, cost-effectiveness, and offline access.
Running models locally grants full control over the AI experience—no vendor locking, no sudden API changes, and the freedom to use models exactly as needed. Whether for personal projects, enterprise automation, or research, exploring and experimenting with open models can unlock new levels of flexibility and power.
If you're interested in diving deeper, a dedicated course is available at an affordable price, brimming with expert insights and practical guidance to help you harness these open models effectively.
In summary: