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The Cognitive Computing Revolution: How & Why Application Development has Fundamentally Changed, &…
- The world of software development is transitioning from procedural programming to cognitive computing, representing a significant revolution in how software is conceived and built.
- Large language models like GPT-4 can now write complex code and companies are shifting to AI-augmented approaches rapidly.
- Developers deeply versed in procedural programming face an existential challenge in adapting to cognitive systems.
- Procedural programming is based on explicit instructions, deterministic logic, rigid structure, and static knowledge, which contrast with cognitive computing's non-linear problem-solving, context-aware processing, and adaptive learning.
- The shift towards cognitive computing requires a fundamental recalibration of how developers approach problem-solving and design solutions.
- Understanding the Document Object Model (DOM) serves as a bridge between procedural and cognitive paradigms.
- Cognitive computing systems differ by representing knowledge, reasoning under uncertainty, and continuous learning and adaptation.
- Natural Language Understanding (NLU) and Natural Language Processing (NLP) are transformative applications of cognitive computing.
- Developers transitioning to cognitive computing must adopt probabilistic thinking, focus on knowledge representation, and understand ethical implications.
- The article emphasizes the need for developers to acquire new technical skills in machine learning, natural language processing, and cognitive architectures.
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