Embedded Files
Artificial Intelligence (AI) works by simulating human intelligence through algorithms and computational models. Here's a simplified explanation of how it works:
Artificial Intelligence (AI) works by simulating human intelligence through algorithms and computational models. Here's a simplified explanation of how it works:
1. Data Collection and Preparation
1. Data Collection and Preparation
AI systems require vast amounts of data to learn and make decisions.
Example: For an AI to recognize images of cats, it needs a dataset containing thousands of labeled cat images.
2. Learning Through Algorithms
2. Learning Through Algorithms
AI uses algorithms to find patterns and relationships in the data.
3. Model Training and Optimization
3. Model Training and Optimization
AI systems are trained by feeding them data and adjusting parameters to minimize errors.
Training involves running data through the model, comparing predictions to actual outcomes, and refining the model through optimization techniques like gradient descent.
Training involves running data through the model, comparing predictions to actual outcomes, and refining the model through optimization techniques like gradient descent.
4. Making Predictions or Decisions
4. Making Predictions or Decisions
Once trained, the AI model can analyze new data and make predictions or decisions based on what it has learned.
5. Continuous Learning and Improvement
5. Continuous Learning and Improvement
AI systems can improve over time by learning from new data.
Example: A chatbot becomes better at understanding user queries as it interacts with more users.
AI works by combining these components to replicate human-like decision-making in specific tasks or domains.
AI works by combining these components to replicate human-like decision-making in specific tasks or domains.
Page updated
Google Sites
Report abuse