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Fine-tuning involves training the model on a narrower dataset that is carefully generated by human reviewers following the guidelines provided by . These reviewers review and rate model output for various inputs to help the model learn appropriate responses. When you use , it takes your input text and processes it through a trained neural network. It responds by predicting the most likely next word or phrase based on patterns learned during pre-training and fine-tuning.
The model can generate text one word at a time, and this process will continue until it decides to stop based on context and defined stopping criteria. It's worth noting that both Bard and both employ security mechanisms to prevent harmful or ina Argentina WhatsApp Number ppropriate content. output that violates ontent guidelines. However, they are not perfect, and there can be challenges in striking the right balance between safety and the model's ability to generate creative and useful responses. The user interface uses a "conversational" user interface, which presents a series of questions and answers, just like you would if you were chatting with a friend on a messaging app.
This is in contrast to visual interfaces, which present information in a variety of graphics, icons, and other images. Conversational UIs have been around for a while (you may remember the O ice assistant "Clippy" launched in 2007 ), but the limitations of artificial intelligence mean that, so far, conversational interfaces have resulted in an underwhelming user experience.
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