Artificial intelligence can be used in a number of ways to predict future events. Some of the most common ways that AI is used for predictions are:
1. Identifying patterns: AI can be used to identify patterns in data sets which can then be used to make predictions about future events. For example, if a machine learning algorithm is used to identify patterns in past data sets of stock prices, it can then be used to make predictions about future stock prices.
2. Probabilistic methods: AI can also be used to make predictions about future events using probabilistic methods. For example, a machine learning algorithm could be used to learn the probability of a certain event occurring based on past data. This information could then be used to make predictions about future events.
3. Neural networks: Neural networks are a type of artificial intelligence that can be used to make predictions about future events. Neural networks are similar to the human brain in that they can learn and identify patterns. Once a neural network has learned to identify patterns, it can then be used to make predictions about future events.
4. Large language models: Large language models are another type of artificial intelligence that can be used for making predictions about future events. Large language models are trained on large amounts of data, such as data from social media or news articles. Once a large language model has been trained, it can then be used to make predictions about future events.
References:
1. https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp
2. https://towardsdatascience.com/applied-machine-learning-part-1-aae0adf870fd
3. https://machinelearningmastery.com/gentle-introduction-neural-networks-work/
4. https://en.wikipedia.org/wiki/Language_model