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SEWING TECHNOLOGY - CITS




           8  Domain  Specificity:  Some  models  are  tailored  for    specific  domains  or  industries,  incorporating  domain
              specific knowledge and assumptions to improve their  relevance and effectiveness. Domain-specific models
              leverage insights and expertise unique to a particular  field, allowing them to capture intricacies and nuances
              that generic models may overlook. For instance, in  weather forecasting, domain-specific models  incorporate
              meteorological principles and regional  climate data to provide accurate and localized  predictions.
           9  Adaptability: Adaptability refers to the model’s ability  to learn and evolve over time, incorporating new data or
              insights to improve its performance. Adaptive models  can dynamically adjust their parameters or structures in
              response to changing conditions, ensuring continued  relevance and effectiveness in dynamic environments.
               Practical applications often require models that can  adapt to evolving trends, preferences, or user  behaviors,
              such as recommendation systems in e commerce platforms.
           10 Ethical  Considerations:  Ethical considerations    are  increasingly important in model development  and
              deployment, particularly as AI technologies impact  individuals and society. Practical models should  consider
              ethical implications such as fairness,  transparency, and privacy to ensure equitable  and  responsible
              outcomes. Ethical considerations may  involve mitigating biases in training data, ensuring  transparency in
              decision-making processes, and  safeguarding sensitive information. By addressing  ethical concerns, models
              can uphold ethical standards  and promote trust and accountability among users and  stakeholders.
           By considering these diverse properties, practitioners can  evaluate and select models that align with their specific
           needs, objectives, and constraints in various practical  applications, ultimately driving meaningful insights and
           informed decision-making.

























































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 CITS : Apparel - Sewing Technology  - Exercise 22-28  CITS : Apparel - Sewing Technology  - Exercise 22-28
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