Part 7/11:
The prompt instructs the model to produce a long, detailed, and coherent reply. David specifies stops at keywords ("user," "Raven") to prevent premature or inappropriate termination of responses.
He employs OpenAI’s GPT-3 completion endpoint (gpt-3.5-turbo) to generate the chatbot’s reply, iterating in a loop until the response is complete.
Saving and Logging the Response
Once the AI crafts a reply, it’s processed similarly to user inputs: vectorized, stored with metadata, and appended to the logs. This ensures continuous, long-term memory that the system can draw on for future interactions.
Practical Testing and Interaction
David demonstrates how the chatbot, "Raven," engages with a user-provided prompt. For example, he inputs: