Artificial intelligence emerged within research labs, from where during recent years it moved into the mainstream. Reported capabilities of AI have increased across a range of tasks that previously required human knowledge and skills. At the same time AI has become more controversial, as concerns grow regarding its impact on issues such as the environment and employment.
Traditionally software engineers used code when instructing computers to run processes and deliver an output. Widespread use of Large Language Models (LLMs) has enabled people to communicate with AI using language they use to communicate with each other. The quality of instructions influences the output, leading to the emergence of prompt engineering. This article looks at the writing of prompts and includes examples.
Governments and organisations have promoted net zero policies. National grids might not meet current or projected future demand. Wind and solar are growing, but when the sun sets and the wind drops the power must continue to flow. The transition to sustainable energy generation, storage and transmission has many challenges, but there are also opportunities.
Until recently most people had never knowingly used AI, but it was integrated within many services they used. The arrival of large language models (LLMs) has rapidly led to millions of people using them for conversation and content generation. Understanding the nature of the technology can make it feel less like magic and more a process of data analysis and pattern matching.
Technology is frequently sold as a tool for saving the planet, by solving many of the most pressing problems confront us. However, technology often consumes huge amount of of electricity. This article looks at different sides of the issues around using technology such as smart grids and precision farming, against the costs associated with their power demand.
