ChatGPT, or the current underlying large language models (LLMs), can generate contextualized responses given a prompt.
As the next step in LLM’s evolution, we expect responses to become increasingly personalized with respect to the end-users’ personality, conversation history, current conversation context, and sentiment.
Key benefits of LLM customization include:
- Personalized responses: The Gen ai solution adapts its language, tone, and complexity based on the user it is interacting with. This ensures that the conversation is more aligned with the user’s expectations and communication style.
- Conversation Context: The Gen ai solution knows the user’s typical use cases, preferences, and history, enabling it to provide more contextually relevant and personalized responses.
- Content Personalization: The Gen ai solution can prioritize or highlight different features or types of content based on user needs, making the interaction more efficient and user-friendly.
- Proactive Assistance: The Gen ai solution anticipates the needs of different users and offers proactive suggestions, resources or reminders tailored to their specific profiles or tasks.
In a previous article (1), we wrote about designing a use case-based evaluation strategy…
