There are a number of ways in which AI can be used to solve markov decision processes that are difficult to solve. One approach is to use machine learning to learn the underlying structure of the problem and then use this knowledge to find an optimal solution. Another approach is to use large language models…
Tag: language-models
The lacking of ability to generalize from a small number of examples
Generalization is the process of inferring rules from specific instances to apply to new, similar instances. In machine learning, generalization is the ability of a model to accurately predict on unseen data. The ability to generalize from a small number of examples is an important skill for any machine learning algorithm, as it allows the…