Insights into ChatGPT's Versatility
The key insights from these article sections are: - OpenAI has made changes to large language models (LLMs) like GPT3 to make them more responsive to human interaction, allowing them to be used as powerful, general-purpose information-processing tools. - These changes enable AI models like GPT3.5 and GPT4 to be used in a programming manner, using new data instead of training, making AI more of a general-purpose tool. - Generative AI, like GPT4, is probabilistic and predicts the probability of words and phrases based on input, making it flexible but also unpredictable. - Training LLMs involves using gradient descent to adjust the neural network’s parameters and make incremental improvements to produce coherent output.
Original article: How ChatGPT turned generative AI into an anything tool
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