Your custom NLG engine suggests outdated phrases for modern tech trends in a webinar How do you handle this

Question

Can you tell me if your custom NLG engine suggests outdated phrases for modern tech trends in a webinar. How do you handle this?

Answer 1

To handle outdated phrases in an NLG engine by integrating real-time web data retrieval, updating language models with recent corpora, applying context-aware filtering, and using adaptive phrase tuning.

Here is the code snippet you can refer to:

​In the above code we are using the following key points:

• Real-Time Data Retrieval: Uses a news API to fetch current tech trends.
• Context-Aware NLG: Ensures the generated text aligns with recent developments.
• GPT-4 for Adaptive Content Generation: Avoids outdated phrasing dynamically.
• Trend-Based Prompt Injection: Embeds the latest insights into AI outputs.
• Automated Content Refresh: Keeps webinar scripts up to date.

Hence, preventing outdated phrasing in an NLG engine requires real-time trend analysis, dynamic prompt adaptation, and continuous model updates to maintain relevance in modern tech discussions.