Machine learning, a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). The culmination of this training is a machine-learning model. For example, an algorithm trained with images of dogs would result […] The post The Black Box Problem in LLMs: Challenges and Emerging Solutions appeared first on Unite.AI.