About this episode
The episode discusses the evolution and importance of prompting in AI interactions, sharing insights and examples from industry experiences.
At first, prompting seemed to be a temporary workaround for getting the most out of large language models. But over time, it's become critical to the way we interact with AI. On the Lightcone, Garry, Harj, Diana, and Jared break down what they've learned from working with hundreds of founders building with LLMs: why prompting still matters, where it breaks down, and how teams are making it more reliable in production. They share real examples of prompts that failed, how companies are testing for quality, and what the best teams are doing to make LLM outputs useful and predictable. The prompt from Parahelp (S24) discussed in the episode: https://parahelp.com/blog/prompt-design
People in this episode
Hosts: Garry, Harj, Diana, Jared
Topics covered
- prompting
- AI agents
- large language models
- production reliability
- quality testing
Keywords
- prompting
- AI
- large language models
- reliability
- quality testing
- founders
- production
Mentioned in this episode
Organizations: Parahelp, Y Combinator
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