BlenderBot 2.0

User submits a question via chat interface.

BlenderBot 2.0 analyzes the question and retrieves relevant information from its memory.

The chatbot generates a response based on retrieved information and generative model output.

The response is presented to the user.

The interaction is stored in the chatbot's memory for future context.

User interacts with the virtual assistant.

BlenderBot 2.0 recalls user preferences and history from its memory.

The chatbot provides customized recommendations and support.

User provides feedback on the recommendations.

BlenderBot 2.0 updates its memory based on user feedback.

Learner engages with the chatbot in a learning session.

BlenderBot 2.0 assesses the learner's knowledge and progress.

The chatbot provides customized learning materials and exercises.

Learner completes the exercises and receives feedback.

BlenderBot 2.0 updates its memory with the learner's performance and progress.

Researchers deploy BlenderBot 2.0 as a research platform.

Participants interact with the chatbot in a controlled environment.

The chatbot records interactions and updates its memory.

Researchers analyze the interaction data to gain insights into human-computer communication.

Researchers refine the chatbot's behavior based on the research findings.

User interacts with the chatbot about their needs or preferences.

BlenderBot 2.0 recalls the user's past interactions and preferences from its memory.

The chatbot generates personalized product or service recommendations.

User reviews the recommendations and provides feedback.

BlenderBot 2.0 updates its memory based on user feedback to refine future recommendations.