Disruptor or enabler? The artificial intelligence revolution

ChatGPT is the fastest-growing app in history, with over 1m users amassed in just a few days. The ascent of artificial intelligence chat bots into the public consciousness represents a watershed moment in over six years of development in neural networks and machine learning. But progress has not always been linear. AI winters – where progress stagnates – have defined much of the young technology’s 70-year history.

The development of large language models has been instrumental in revitalising AI. LLMs are AI models trained on a diverse range of internet text, making them capable of generating human-like text based on the input they receive. They operate on a machine learning architecture known as the transformer decoder – a complex system designed for comprehending context in input data. These models learn to generate text by predicting the next word in a sentence. Through extensive training on large text datasets, they acquire knowledge about grammar, facts about the world, reasoning abilities and even pick up biases inherent in their training data.

 
Συνέχεια εδώ