Part 8/11:
Score sidesteps these issues by fostering a self-reliant correction mechanism. It leverages the model’s own data, dynamically adjusting its responses, and fostering an ongoing learning process. This approach makes AI systems more adaptable, resource-efficient, and capable of handling unforeseen challenges.
The DeepMechanics: How Score Works
Score’s training framework hinges on two stages:
- Initial Correction Strategy Development: The model learns to produce substantial, meaningful changes when it detects errors, rather than tiny tweaks that barely impact the response.