Taking LLM output to Production

LLMs are everywhere and sooner rather than later you'll likely to find yourself trying to integrate one in your application as well.

However, Integrating LLMs into production environments often comes with significant challenges, such as hallucinations and unreliable outputs. These issues can undermine user trust if not addressed correctly. This session is tailored for developers seeking to integrate LLMs into their applications while upholding high standards of reliability and consistency.

In our ~30-minute session, we'll explore a range of prompting techniques designed to mitigate these challenges. Rather than a deep-dive tutorial, this session offers a concise introduction to various prompting options and strategies.

By the end of this session, you'll gain insights and practical knowledge on crafting effective prompts. This will empower you to achieve more reliable and accurate AI outputs, enhancing the overall performance and trustworthiness of your applications.

This talk is suitable for beginners with basic knowledge and general awareness of LLMs & a desire to learn more about prompting techniques.