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9. Build a custom GPT. If you have a paid ChatGPT plan, you can build custom GPTs that carry out specific actions. For example, if you regularly need to turn a topic into social media captions ...
Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing , machine translation , and natural language generation and can be used as foundation models for other tasks. [ 62 ]
For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning. [24] In-context learning is an emergent ability [25] of large language models.
I assigned a writing prompt a few weeks ago that asked my students to reflect on a time when someone believed in them or when they believed in someone else. One of my students began to panic.
Instead of writing these blog posts from scratch, you can ask ChatGPT to write a review for a product that you want to cover. ChatGPT will then provide a brief summary that you can edit.
GPT-3 trying to write an encyclopedic paragraph about water scarcity in Yemen With the rise of machine learning , discussions about Wikipedia and AI models are becoming more and more heated. As of December 2022, with the release of ChatGPT for free to the public, AI has shown its potential to either massively improve or disrupt Wikipedia.
GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]
ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2]