

Episode 30: Lessons from a Year of Building with LLMs (Part 2)
Jun 26, 2024
Explore insights from Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, and Shreya Shankar on building end-to-end systems with LLMs, the experimentation mindset for AI products, strategies for building trust in AI, the importance of data examination, and evaluation strategies for professionals. These lessons apply broadly to data science, machine learning, and product development.
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PMF before GPUs
- Secure product-market fit (PMF) before investing in GPUs.
- Avoid premature spending on expensive hardware.
Optimize Your Prompts
- Optimize prompts by prioritizing relevant information over excessive length.
- Improve model performance by focusing on what truly matters.
Hamel's Prompt Examination
- Hamel Husain discovered unexpected and suboptimal prompt constructions in AI libraries.
- His "man-in-the-middle attack" highlighted the need for prompt examination.