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Apply machine learning and NLP techniques and toolkits to train and test the chatbot (such as supervised learning, reinforcement learning, and sentiment analysis)
#12
Unnecessary, since the chatbot architecture did not end up requiring training or fine-tuning. This is because we are using a pre-trained Large Language Model (LLM) and Retrieval Augmented Generation (RAG) to converse with the user.
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