The article explores the RLHF method as a way to enrich language models with a deeper understanding of complex concepts. It highlights the challenges related to accessibility and costs of gathering expert-labeled data. It also discusses how RLHF significantly improved ChatGPT compared to the original GPT-3.

Zero-shot models are helpful for prototyping machine learning projects because they generally do not need additional training to operate. CLIP, a popular model from OpenAI, does particularly well.

Working with many founders and managers has taught us how important industry knowledge is to the success of AI projects. Unfortunately, experience with mobile apps or web-based SaaS is not enough to successfully run a project. We discuss the most common mistakes below.