To make an AI using Python, you can use the Torch library.
Jupyter is also commonly used.

#### Transformers
Things like ChatGPT generally use transformers. Transformers are characterized by their multi-layered encoder-decoder architecture and the use of attention mechanisms to weigh the importance of different parts of an input sequence when predicting the next token or element in that sequence.

#### N-grams
N-grams refer to contiguous sequences of items of a given length (n) in a larger data set. They are commonly used in natural language processing applications, where they can be employed for tasks like language modeling, speech recognition, sentiment analysis, machine translation etc.

#### Bigrams
Bigrams or bi-N-grams refer to contiguous sequences of two consecutive elements of a given type in a dataset; hence the name bigrams from Greek bi-, meaning twice, doubled or both.
They are often applied to languages either written or spoken since humans tend to group words into sentences which themselves may contain substructures or patterns such as collocations or idioms.
Beyond those mentioned, bigram analysis can also help identify topics within documents or clusters across datasets based upon shared features between objects or observations.

Good luck! Remember, I'm here to help! 😊
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