Demo: Fine-tuning and post train chat eval POC

[nerdalert]

• Demonstrates an end to end knowledge submission, generate, train and a post-training side-by-side model chat comparison, enabling the user to validate their knowledge submission is included in the newly trained checkpoint.
• All aspects of the pipeline are done via the UI. No command-line operations are required at any stage.
• For this to function for the frontend to make REST API calls to Instructlab via an api-server that frontends ilab until REST endpoints are provided via InstructLab natively. The code is here https://github.com/nerdalert/ilab-api-server
• The demo was run on a 24GB GPU leveraging the simple pipeline. Will get an example accelerated/full pipeline demo with some hardware soon (which also produces a better tuned model).
• Integrates the new Patternfly Chatbot component. Note: the node that ilab is running inference needs to have ports open for connectivity since as I haven't gotten the chat streaming working with Next.js app router server side rendering with the chatbot component yet.
• Training and generation for the demo took around ~30-45m or so.
• All functionality is decoupled from the system via REST making it serviceable out of the gate and enabling the UI functionality.
• The knowledge submission was just a random new wiki that docling converted for the submission. It could be any topic of knowledge with accompanying documentation in the submission.

e2e-fine-tune-demo.mp4