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Understand LLM to derive the Best and Worst Use Cases of ChatGPT
Learning the best use cases ChatGPT based on its underlying Large Language Model (LLM). Capitalize on the strength of this model and avoid its weaknesses for our daily use.
TLDR: ChatGPT is fundamentally a word prediction machine; it does not understand any meaning or have any emotion. Best use cases are interactive, learning, distill and summarize.
Large Language Model (LLM): The Good Side
ChatGPT is a Large Language Model (LLM) chatbot developed by OpenAI based on GPT-3.5. It has a remarkable ability to interact in conversational dialogue form and provide responses that can appear surprisingly human.
ChatGPT predicts the next word
The keyword here is predict. Large language models perform the task of predicting the next word in a series of words. Open AI’s Large Language Models recognize, summarize, translate, predict and generate text and other content. LLM are foundations for summarizing articles, writing stories and engaging in long conversations.
ChatGPT was trained on large amount of massive text data
Although ChatGPT is definitely not sentient and doesn’t attach any emotion or meaning to the…
