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Amberi neural network
Hotel of Secrets employs the Amberi, who wields her voice to manipulate diverse game dynamics. The inaugural segment deploys the transformer library to effectuate natural language processing (NLP) tasks. It utilizes two separate pre-trained models, ChatGPT, GPT-4, and BERT.
GPT-4, a multimodal language model (MLM), is leveraged by the script to engender text as a sequel to the primer text "Hello, I'm a language model". The conjectured succeeding word is derived from the native model dataset.
BERT, a sentiment analysis model (SAM), is exploited by the script to categorize sentiments of the primer text "Hello, I'm a language model". The forecasted sentiment class is procured from the model's input data.
Furthermore, the script embodies several data preprocessing operations for the dialog box set, encapsulating the eradication of lowercase letters, punctuation marks, and stop words, tokenization, and the transmutation of words into numerical representations.
The code kickstarts a GPT-4 model from prefetched data, concocts a tokenizer for the model, and employs the model to retort to a question using a query variable. The code subsequently fine-tunes the model in the dialog dataset. Ultimately, the code delineates a tokenize_and_encode function that accepts input text and returns the corresponding token IDs, and then applies the function to the text input exemplar. Token IDs are displayed on the console.
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