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ChatGPT: Artificial Intelligence possibilities for Uganda

Author
Akram Kiyegga

ChatGPT: Artificial Intelligence possibilities for Uganda

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ChatGPT: Artificial Intelligence possibilities for Uganda

The year 2022 was great for the tech revolution with one of the most exciting scorers being ChatGPT.  And before I am accused of playing algebra: carrying x or y along without ever bothering to establish its actual mathematical value, ChatGPT is a large language model developed by OpenAI that uses deep learning techniques to generate human-like text.

Artificial intelligence (AI) is the ability of a machine or computer to reason, react, and deliver reflected replies to common situations in the same way as a normal, right-thinking human would. Think about the traffic lights on the way to and from home or work are a common illustration. Instead of having a single person or a group of individuals guiding traffic, a trio of lights were installed to enable pedestrians to know when it was time to stop, to get ready, and to go.

In perspective, AI has the potential to revolutionise various industries and sectors in Uganda, offering a wide range of opportunities for growth and development. AI is an essential component of manufacturing since machines undertake jobs that require extensive data integration. This saves human mental fortitude for tasks that need uniqueness and creativity, such as serious research.

Certain jobs, such as automated database management, market analytics, and machine learning, that involve extensive data integration may be better suited to machines, hence boosting the effectiveness of various organisational functions.

One of the main opportunities for AI in Uganda is in the field of healthcare. AI can be used to improve the diagnosis and treatment of diseases, as well as to improve the efficiency of healthcare systems. For example, AI can be used to analyse large amounts of medical data to identify patterns and trends that can help doctors make more accurate diagnoses. Additionally, AI can be used to help identify patients at high risk of certain diseases, allowing for early intervention and prevention.

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