ASK a question on almost any topic and ChatGPT has a reasonable answer ready. You can ask it to write a song or give you a 5-part framework for a corporate digital strategy. On most general topics, like the one in our example, the output will likely be sensible. But on more specific questions, it might get a fair amount of detail wrong.
An LLM is a neural network model that uses unsupervised learning to predict outcomes. Among the many AI models developed, LLMs are uniquely unexplainable. So LLMs are “large” partly because of the amount of data they’re trained on. But also due to the size of the models themselves. A few years ago, a complex model might have had a couple of hundred parameters; LLMs have billions. ChatGPT’s underlying LLM has 175 billion parameters and is training on something like 500 billion “tokens” .
However, it’s important to note that the use of AI also raises ethical and privacy concerns, particularly around the use of personal data. Hence, KPMG in the Philippines Technology Consulting Head Jallain Marcel S. Manrique suggests that “it is of paramount importance that businesses embrace a mindset that places transparency, responsibility and ethics at the core of their decision-making processes when it comes to harnessing the power of artificial intelligence.