These are interesting times for artificial intelligence (AI).
Unquestionably the technology of our day, it seems to have the weight of our expectations across the technology sector on its shoulders. AI, it seems, is the answer to everything – it can be sprinkled like fairy dust on to a problem and a solution will emerge.
Last month we ran a feature suggesting that, while the hype may be continuing unabated, there are issues with the prevalent large language models (LLMs) that may mean AI’s exponential growth may be blunted.
This issue we have a couple of articles that point to a rethinking, and broadening, of the AI offering. LLMs were the methodology that became the road ahead for AI, but there were other technologies that were pushed onto the hard shoulder – and these technologies may provide ways round the current roadblocks appearing on AI’s LLM journey. Paul Dempsey looks at these forgotten children of AI and why they may start to play a more prominent part in the future.
And then...