# Rajat Tiwari

## AI applications

**Prompt Engineering vs Fine-Tuning: Choosing the Right AI Approach**  
While prompt engineering is a quick and cost-effective solution for general tasks, fine-tuning enables superior AI performance on proprietary data. We previously discussed how building a RAG-based chatbot for enterprise data paved the way for creating a comprehensive GenAI platform.

[Read Now](/content/ai-and-cloud-native-blog/is-fine-tuning-or-prompt-engineering-the-right-approach-for-ai/index.html)

**Building an Extensible GenAI Copilot: What We Learned**  
Working through the complexities of developing an internal copilot helped us push the boundaries of what we believed possible with GenAI. Our generative AI (GenAI) journey began with a single use case: How could we make it easier for our customers to navigate the vast landscape of documentation and features within our platform?

[Read Now](/content/ai-and-cloud-native-blog/building-an-extensible-genai-copilot-what-we-learned/index.html)

## Trusted by leading enterprises, neoclouds and service providers

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