Synthetic data can help solve problems with real-world data, like data scarcity and privacy issues. By using artificial data, we can create large sets that are safe and more accessible.
The Evol-Instruct method creates complex commands from simpler ones, which leads to richer training data for models. This process helps develop a variety of tasks for AI to learn from.
Training models like WizardLM with synthetic data has shown to improve their performance significantly. It produces better responses compared to many other models, helping AI handle tougher challenges.