A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

The largest and most capable LLMs are generative pretrained transformers (GPTs). Modern models can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inherent in human language corpora, but they also inherit inaccuracies and biases present in the data they are trained in.

SDG 1 is to “end poverty in all its forms everywhere.” Achieving SDG 1 would end extreme poverty globally by 2030. One of its indicators is the proportion of population living below the poverty line.

The data gets analyzed by sex, age, employment status, and geographical location (urban/rural). One of the key indicators that measure poverty is the proportion of population living below the international and national poverty line. Measuring the proportion of the population covered by social protection systems and living in households with access to basic services is also an indication of the level of poverty.

Source: Wikipedia