Part 5/8:
Searching stored logs for the most similar past logs.
Injecting those relevant logs into the current prompt to provide context for GPT-3.
This approximates a human-like memory, allowing the chatbot to remember details over extended interactions, vital for complex marketing discussions or maintaining a rapport.
Code Walkthrough and Debugging
Shapiro shares practical aspects like:
Importing necessary modules (e.g., JSON, OS).
Setting up the embedding and search functions.
Managing dialogue structure and storage.
Handling common pitfalls, such as syntax errors or incorrect log formatting.
He illustrates how to refine the process by:
Ensuring logs are properly saved as JSON.
Including user identifiers ("user:" and "Marcus:") for clarity.