The MIND-BLOWING Evolution of ChatGPT from 1 to 5!

Here are some key points of the videos:

* GPT-1 (2018) was the first step, using unsupervised learning on a large corpus of books to predict the next word in a sentence, demonstrating AI's capacity to handle language with minimal training. However, it had limitations in generating long, coherent responses.
* GPT-2 (2019) significantly increased the parameter size and was able to generate coherent multi-paragraph text, write fiction, mimic writing styles, and create news articles. It also expanded the range of AI tasks to include summarizing text, answering questions, and translating languages, but still struggled with context in longer conversations.
* GPT-3 (2020) marked a major leap with its 175 billion parameters, enabling it to perform diverse tasks like drafting emails, composing poetry, and generating code. Its zero-shot learning capability allowed it to perform tasks from a single prompt. However, it had a tendency to produce incorrect responses and struggled to maintain context in longer conversations.
* GPT-4 (2023) introduced multimodal functionality, allowing it to process text, images, and audio. It also expanded its context window to 128,000 tokens, enabling it to handle larger inputs. Its expanded capabilities enabled new applications in areas such as web development, healthcare and education.
* GPT-5 (not yet fully released) promises real-time reasoning, expanded multimodality (including audio and video processing), and a 200,000-token context window. It will also function as an autonomous AI agent, anticipating needs and managing tasks.

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