The DIY Path to AI Product Management: Picking a Starter Project

Aspiring AI product managers must excel in identifying AI value-adding opportunities and collaborating with model developers for effective deployment. Developing intuition for AI behavior requires deploying models and making mistakes, or learning from others' experiences. Engaging in side projects, especially with LLMs like ChatGPT, can enhance understanding of AI nuances and develop an evaluation mindset. Effective starter projects involve solving real problems, testing models on diverse data, and establishing clear evaluation criteria. Examples of starter projects include a gift recommendation classifier, recipe book digitization, and public figure quote extractor. The ChatGPT API is recommended for beginners due to its ease of use and integration. Troubleshoot and iterate on projects to gain experience in model evaluation, troubleshooting, and limitations. Understanding AI capabilities and limitations is crucial for effective AI product management. Hands-on projects provide invaluable experience in troubleshooting, evaluation, and real-world applications. Aspiring AI PMs should embrace continuous learning and seek challenges to refine their skills.