GPT-3 was a landmark moment in AI due to its unprecedented size, featuring 175 billion parameters, which enabled it to perform a wide range of natural language tasks without extensive fine-tuning. This model was trained using big data, allowing it to generate human-like text and engage in conversations. It also had the ability to perform few-shot learning, significantly improving its versatility and demonstrated usefulness in commercial AI applications such as chatbots and virtual assistants.
Today, AI is increasingly becoming embedded into many aspects of daily life, from social media to work processes and as the technology improves, its influence will continue to grow. To understand the directions the technology can take, it helps to understand how we got here. Here is a history of major developments in AI: