SCIENCE AND TECHNOLOGY

“11 Game-Changing AI Technologies: Discover the Latest Trends Shaping the Future”

1. New Technologies in AI: GPT-3.5/GPT-4

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.

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