It is not a secret that GPT has become one of the most discussed breakthroughs among the latest AI technologies. But do you know the history of such a sensational technology? We will tell everything from the very beginning.
All the history takes its beginning with early examples like ELIZA in the 1960s and ALICE in the 1990s. These early chatbots used rule-based approaches and were limited in their ability to engage in meaningful conversations. In the 2010s, the world saw the emergence of AI-driven chatbots that incorporated machine learning and NLP techniques. Platforms like Facebook Messenger and Slack have popularized chatbots for business and consumer use.
The breakthrough came with the development of deep learning models like GPT. GPT-1, introduced by OpenAI in 2018, marked a significant leap in chatbot capabilities. It could generate contextually relevant text, even though it had limitations. GPT-2, released in 2019, was known for its ability to generate human-like text on a larger scale. However, its release was initially controversial due to concerns about potential misuse. GPT-3, released in 2020, further improved upon its predecessors and gained widespread attention for its natural language understanding and generation capabilities.
GPT-3.5, the predecessor of GPT-4, boasted a staggering 175 billion parameters. To put this in perspective, it's more than 10 times the size of its predecessor, GPT-2, which had 1.5 billion parameters. GPT-3.5 demonstrated a remarkable ability to understand and generate human-like text. It could write essays, answer questions, and even create poetry. In fact, it was often challenging to distinguish its outputs from those of a human writer.
Have you mentioned that the last abstract was written by GPT? We do not think so.
New technologies in AI are developing extremely fast.
GPT-3.5 was harnessed by numerous businesses to automate content creation. In one instance, a media company used it to generate thousands of articles daily, drastically reducing the need for human writers.
GPT-4, the next evolution, boasts an even more astonishing parameter count, rumored to exceed 200 billion. This leap in scale promises unprecedented language understanding and generation capabilities. Businesses across various sectors are exploring the potential of GPT-4. Content generation, customer support, and virtual assistants are areas where GPT-4's capabilities are expected to shine.
GPT-3.5 and GPT-4 are just the beginning. The pace of AI model development suggests that even more capable language models are on the horizon, with implications for industries ranging from content creation to virtual assistants.
On November 6, 2023, CEO of OpenAI Sam Altman introduced a completely new version of Chat GPT that includes GPTs, Chat GPT Store, GPT-4 Turbo, and other new technologies in AI that we are going to describe in this article.
"OpenAI is the most advanced and most widely used platform in the world now," Sam Altman stated. For real, Chat GPT is used by people of all ages and professions all over the globe.
The fact that one technology is understandable to both a hundred-year-old man and a ten-year-old child cannot but impress. A lot of hard work stays behind such unbelievable success. “Today we have got about 2 million developers building on our API for a wide variety of use cases doing amazing stuff, over 92% of Fortune 500 companies building on our products, and about 100 million weekly active users now on Chat GPT,” ensures Sam Altman.