The answer is not strictly Q&A by AI - this is me providing significantly more context input to the AI than the length of the answer, along with instructions for the composition pieces desired, already knowing the topic (already answering the same before on Reddit), and re-composing the time-saving writing segments into the desired answer, including directly addressing the question.
Below, instead, is completely AI-generated with the push of a button, and we see doesn’t articulate your input correctly:
The discussion began with user joyasree78 questioning how the GPT group of models can perform tasks like Q&A, translation, and summarization when they are decoder-only models, which she thought would require an encoder-decoder model. User _j responded with a detailed explanation about GPT’s decoder-only architecture. They explained that unlike traditional transformer models, GPT models do not use an encoder. Instead, they use a specific type of attention mechanism called masked self-attention. They highlighted that GPT models can perform tasks typically associated with encoder-decoder models due to the power of the transformer’s decoder and the training method used for GPT models. Despite being decoder-only, GPT, through its self-attention mechanism and unsupervised learning method, can understand the input data and generate appropriate output. User jl3, however, voiced concerns about the reliability of GPT-generated content.