Summary
Building on the previous episode, we look at refactoring our background job into a more maintainable object and provide context to the LLM so that we can chain together responses for a more conversational experience.rails ai artificial intelligence background processing machine learning 18:22
Chapters
- Introduction (0:00)
- Updating to a Private Stream (1:20)
- Refactoring background job (2:29)
- Creating a context model (5:51)
- Quick recap of the flow (6:56)
- Gathering the response (8:04)
- Reformatting the prompt request (9:14)
- Updating the response format (11:08)
- Broadcasting the prompt (12:03)
- Display the saved context (13:46)
- Resetting the context (15:16)
- Final Thoughts (17:44)
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