Delve into the fundamentals of artificial intelligence with our blog series. Explore key AI types, how large language models (LLMs) work, the role of training data, and the challenge of LLM hallucinations. Learn about transformer architectures, neural networks, and the difference between generative and analytic AI, with practical explanations and real-world examples for beginners and experts alike.
We have grown used to computers behaving consistently. If you type a formula into Excel to multiply two numbers together, not only will the answer be correct, but it will produce the same result when you next open the spreadsheet. This is not the way that large language models (LLMS), the models underlying generative AI,…
With all the current levels of excitement about generative artificial intelligence (AI) in the form of chatbots like ChatGPT and its rivals, it is easy to forget that the scope of AI goes well beyond this particular strand of AI. The media is awash with stories about the large language models (LLMs) that underpin generative…
One aspect of generative AI that seems curious is the different rates of progress that the large language models (LLMs) have made in general-purpose text generation compared to their progress in image creation. It is now getting on for three years since the release of Open AI’s ChatGPT in November 2022, yet the progress of…
Artificial intelligence has been on everyone’s lips in the last couple of years, ever since ChatGPT racked up 100 million users in record time (just two months) after its release in November 2022. Based on large language model (LLM) technology, the latest in AI could generate convincing content quickly (“generative AI”), from school essays to…