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Description:
Create a chatbot that incorporates a Language Model (LLM) for generating responses. The chatbot will aim to understand what types of restaurant environment, food, parking, etc that the user is interested in.
Language Model Selection: Discuss different LLM frameworks available, such as Hugging Face's Transformers or OpenAI's GPT models, and their suitability for the chatbot application.
Dataset Selection: Explore options for acquiring or preparing a dataset that aligns with the chatbot's domain or purpose. Perhaps using the Yelp API does not give enough reviews for our purposes.
Preprocessing: Outline the necessary steps for preprocessing the dataset to make it compatible with the LLM training requirements.
Training: Explain the training process of the LLM using the preprocessed dataset, including details like model architecture, hyperparameters, and training techniques.
The text was updated successfully, but these errors were encountered:
Description:
Create a chatbot that incorporates a Language Model (LLM) for generating responses. The chatbot will aim to understand what types of restaurant environment, food, parking, etc that the user is interested in.
The text was updated successfully, but these errors were encountered: