← Natural Language Processing learning pathNatural Language Processing · Module 10 of 10
Building NLP applications
Ship NLP features responsibly.
📖 Key ideas
- Common apps: chatbots, search, document Q&A, feedback analysis.
- Use APIs or open models depending on cost, privacy and control.
- Evaluate with test sets and human review.
- Guard against prompt injection and data leaks.
- Monitor quality, latency and cost in production.
💡 Real-life example: An NLP app is a well-trained receptionist: understands questions, finds answers and knows when to escalate.
ChatbotConversational application
Semantic searchSearch by meaning
Prompt injectionMalicious instructions in input
Human reviewPeople checking outputs