AI-Based Content Labeling with Insight Services
AI-Based content labeling with insight services brings the full potential of artificial intelligence to the user’s fingertips.
In the below video blog, Patrick will explain how this looks while providing a real-world example.
To Summarize:
- Label data to train your machine learning model and enrich your knowledge base
- Test the knowledge base to ensure Mindbreeze learned correctly
- Use this knowledge base to predict the rest of the data you did not label manually
- If Minbreeze detects data incorrectly, you can provide feedback and adapt the knowledge base
If you would like to learn more about this topic, please visit the Mindbreeze Academy webpage.
Latest Blogs
From Prompt Engineers to Context Engineers: The New Talent Imperative
In the race to master generative AI, "prompt engineering" became the buzzword of the year. Everyone wanted a perfect way to communicate with machines. However, as the hype fades, a more profound truth is emerging: it's not what you ask of AI, but what it knows when you ask it.
The Agentic Enterprise: When 80% of Customer Processes Run on AI
Imagine an enterprise where AI doesn’t just respond, it acts. An AI that resolves a customer ticket, updates your CRM, and notifies sales before anyone asks.