Building with AI
Garry emphasizes the importance of test-driven development and understanding customer workflows when building AI tools. He warns against the temptation to create demo versions without solid testing, noting that current large language models operate at a limited capacity. As the next generation of models emerges, those who have established strong brands and efficient processes may significantly reduce their costs and outpace traditional software companies.In this clip
From this podcast
My First Million
Garry Tan on Spotting Extreme Winners, Advice for Founders in AI + Lessons from Paul Graham
Related Questions
Have you seen a way to unit test large language models (LLMs) that are super helpful, as discussed in the episode How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269?
Have you seen a way to unit test large language models (LLMs) that are super helpful, as discussed in the episode How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269?
Is there anyone taking a different approach to prompt engineering for large language models that makes the process more accessible to a wider audience, as discussed in the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip LLMs as Jury, as well as in the episode Collaboration & evaluation for LLM apps and the clip Fine Tuning Insights?