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The key challenge in this approach is determining who defines the constitution and the underlying principles. In practice, this could vary depending on the intended use case and customer, with the possibility of specialized or customized principles for different applications. The goal is often to create more neutral and advisory AI systems that present considerations rather than express strong opinions.
Overall, the evolution of AI training techniques reflects a continuous effort to enhance the capabilities, safety, and alignment of these systems with human values and preferences. While pre-training remains a crucial component, the post-training phase is becoming increasingly important, with techniques like Constitutional AI offering promising avenues for further development.