Hi guys, today I am going to show you how to design a generative AI model like GPT with custom data. But before that, let me explain the difference between AI and generative AI. AI, or artificial intelligence, is used to make decisions or predictions based on given data. On the other hand, generative AI is used to generate new and original content, such as text, images, audio, or video.
Generative AI is a subset of deep learning, which is a subfield of machine learning. Deep learning models can be classified into discriminative and generative models. Discriminative models are used for classification or prediction, while generative models are used to generate new data similar to the training data.
To design a generative AI model, you need labeled data for training. The model learns from the input-output pairs and predicts the next word or generates new text based on the training data. The training process involves training each word and generating new text based on the learned patterns.
In the example I provided, I used a simple LSTM model to generate new text based on a small dataset of stories. The model was trained on this data, and then I ran the program to generate new text. The output may not be very accurate due to the limited dataset and simple model, but with more data and a better model, you can generate more meaningful and accurate text.
The training of a generative AI model involves supervised learning, where each word is given as input and the next word is the output. By training on a large dataset, such as billions of text data, you can create a large language model like GPT. When you give any text input to the model, it can answer questions or generate new text based on the learned patterns.
In conclusion, designing a generative AI model involves training the model on labeled data and using supervised learning to predict the next word or generate new text. With more data and a better model, you can generate more accurate and meaningful text. I hope this article helps you understand the process of designing a generative AI model. Thank you for reading!
