The world is familiar with artificial intelligence (AI) models such as ChatGPT. These models have raised global excitement and interest in AI. A next step in this journey is to design specific AI models for specific industries. For example, creating models to address development challenges such as climate change.
Such specific AI models can be particularly useful for Asia and the Pacific region, which is easily affected by extreme weather events due to climate change. Users can create a model that apprises them of the chances of flooding or drought in a specific area at a given time. In the con text of climate change, specific AI models can be used to speed up progress on climate action. They also can help adapt to the changing climate and reflect the overall impact of climate change across the planet. An Al model can be built through a series of steps that include defining its scope and purpose to establish clear objectives, and then preparing the training data and breaking it into smaller units.
The advantage offered by specific models is that they have fewer requirements than othertools. They don't require millions of dollars of initial funding, human resources and government support. It is possible to build a specific model regardless of whether you are going to develop it as an individual or on behalf of an organization. You can build a simple one using a laptop and a small dataset to train the model.
AI, like other forms of technology, has weaknesses and risks. Users who develop their own specific model need to be aware that AI models are heavily dependent on data. Poor-quality data will result in poor-quality analyses.
