The Evolution of Machine Learning Practices

Machine learning practices have evolved from traditional models to the current ML ecosystem. In the early days, machine learning involved optimizing a fixed data set and metric. However, this approach is rapidly changing as companies are tasked with building real products that interact with end users. This shift requires considering the dynamic nature of user behavior and the changing world. There is a growing focus on building machine learning-powered products based on foundation models like GPT-3. These models allow for quick prototyping and adaptation to specific tasks without extensive training. Companies are also benefiting from the reduced entry barriers to adopt machine learning and the expanding capabilities of state-of-the-art models.