AI System Development Task
An AI System Development Task is a software development task that focuses on creating AI systems by building, training, and testing AI models to solve specific problems.
- Context:
- It can (typically) involve collaboration between AI Engineers, Machine Learning Engineers, and Data Scientists to build robust AI models.
- It can (typically) involve optimizing AI models for efficiency and scalability, ensuring they can handle real-world data and user demands.
- It can (typically) involve the implementation of AI algorithms, integration with data sources, and preparing the system for deployment in real-world applications.
- It can (often) include collaboration with AI System Deployment Tasks to ensure a smooth transition from development to production environments.
- It can (often) be a part of AI System Engineering, encompassing the design, development, and refinement of AI models and systems.
- It can (often) include the setup of Offline Evaluation Datasets to ensure proper testing of AI models before deployment.
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- It can require the use of AI Development Frameworks such as TensorFlow and [[Langchain].
- It can include tasks such as AI Model Implementation where specific machine learning or deep learning models are coded and trained on relevant datasets.
- It can involve integrating Data Pipelines to feed data into the AI models for both training and real-time inference.
- It can require the definition of Evaluation Metrics to assess the model's performance, such as Accuracy, Precision, Recall, or F1 Score.
- It can require adherence to AI Development Best Practices to ensure robustness, transparency, and fairness in the models.
- It can be part of a larger AI Engineering Project aimed at using AI to solve specific business or technical challenges.
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- Example(s):
- ML System Development, ...
- Developing an Image Classification System using deep learning algorithms for healthcare diagnostics.
- Building a Natural Language Processing System for customer support automation.
- Implementing a Recommendation System for e-commerce platforms to suggest products to users based on previous interactions.
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- Counter-Example(s):
- Software Maintenance Task, which focuses on maintaining existing software systems rather than developing new AI models or systems.
- Data Engineering Task, which focuses on building and maintaining the data infrastructure rather than developing AI algorithms or systems.
- See: AI Model Development Task, AI System Deployment Task, Machine Learning Engineering Task, Data Science Task