Episode 6 - Jobot's Trip Down Memory Lane

How to Build an AI: The Chronicles of Jobot

In this episode, we focus on enhancing Jobot's capabilities by giving it the ability to remember past conversations with users. This feature allows for seamless, ongoing interactions that build upon previous discussions, creating a more engaging and personalized experience.

Key steps in this episode:

  1. Identifying the need for conversation history: We recognize the value of maintaining a continuous dialogue with users, allowing them to pick up where they left off.
  2. Developing a storage solution: We design a robust and secure system to store conversation history for each user, ensuring data privacy and integrity.
  3. Integrating conversation history into Jobot: We modify Jobot's underlying architecture to access and utilize stored conversation data, enabling it to build upon previous interactions.
  4. Testing and refining the feature: We deploy the updated version of Jobot and gather user feedback, refining the conversation history functionality as needed.

By the end of this episode, Jobot will have gained the ability to remember and continue past conversations, forging deeper connections with users. How will this new capability affect the user experience and Jobot's overall potential? Stay tuned to find out!