| Syllabus: GS-III, Subject: Science and Technology, Topic: Emerging technologies, Issue: Artificial Intelligence |
Artificial Intelligence:
- Intelligence is the application of knowledge to solve problems, while artificial intelligence (AI) refers to intelligence in machines.
- AI lacks a single definition but can be understood through its materiality as a machine-software combination.
- Linear separability is a basic AI problem where machines separate data into distinct groups based on specified criteria.
- Decision-making in AI varies in complexity, from simple tasks like marble sorting to nuanced scenarios like autonomous car braking decisions.
- Generative AI models like ChatGPT learn from vast training datasets to generate text responses without classification.
- Machine learning encompasses supervised, unsupervised, and reinforcement learning methods.
- Artificial neural networks (ANNs) mimic animal brains, comprising nodes and connections with activation functions and weights.
Transformers are a specialized ANN architecture designed for parallel training and enhanced attention to input data.
