What is Context-Aware Generation?
A generation technique where AI models create content based on the broader context of the input, including user history and prior interactions.
More about Context-Aware Generation:
Context-Aware Generation leverages input context, user history, or ongoing dialogue flow to produce responses that are coherent and relevant. This approach ensures that the AI output aligns with the user’s intent and the conversation’s overall context.
Applications of context-aware generation include multi-turn dialogue with retrieval, chatbots, and knowledge-grounded generation, where understanding the broader context is critical for delivering high-quality responses.
Frequently Asked Questions
Why is context-aware generation important for conversational AI?
It ensures that responses are coherent and relevant to the ongoing interaction, improving user satisfaction and engagement.
What technologies enable context-aware generation?
Technologies like contextual embeddings and retrieval augmentation pipelines play a key role.
From the blog
Handling Unresolved Support Tickets: Escalating To Human Agents
As amazing and helpful as your ChatGPT powered custom chatbot might be, sometimes your customers or visitors still need a human touch. That's where escalating to human support comes in.
Herman Schutte
Founder
ChatGPT 3.5 vs ChatGPT 4 for customer support
Now that the latest version of ChatGPT 4 has been released, users of SiteSpeakAI can use the latest model for their customer support automation. I've put ChatGPT 3.5 and ChatGPT 4 to the test with some customer support questions to see how they compare.
Herman Schutte
Founder