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What is the main focus of the Hugging Face Smol-Course? | {
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"raw_output_text_generation_1": "The main focus of the Hugging Face Smol-Course is to provide an introduction to deep learning and natural language processing (NLP) using Python. The course covers key concepts such as neural networks, recurrent neural networks (RNNs), long short-term memory (LSTM) models, convolutional neural networks (CNNs), and transformers. It also introduces popular libraries like TensorFlow, PyTorch, and Keras for building and training these models. Additionally, it provides hands-on exercises and projects that allow learners to apply their knowledge in real-world scenarios.",
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} | HuggingFaceTB/SmolLM2-1.7B-Instruct | The main focus of the Hugging Face Smol-Course is to provide an introduction to deep learning and natural language processing (NLP) using Python. The course covers key concepts such as neural networks, recurrent neural networks (RNNs), long short-term memory (LSTM) models, convolutional neural networks (CNNs), and transformers. It also introduces popular libraries like TensorFlow, PyTorch, and Keras for building and training these models. Additionally, it provides hands-on exercises and projects that allow learners to apply their knowledge in real-world scenarios. |
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