Which library is commonly associated with providing state-of-the-art pre-trained models and pipelines for natural language processing tasks?

What is the Machine Learning Python library that supports building Machine Learning models, as discussed in the project introduced in this section?a.scikit-learnb.PyTorchc.Kerasd.TensorFlow

Which of the following is NOT a commonly used pre-trained language model for NLP tasks?Question 14Answera.BERT (Bidirectional Encoder Representations from Transformers)b.ELMO (Embeddings from Language Models)c.GPT (Generative Pre-trained Transformer)d.SVM (Support Vector Machine)

Question: Large Language Models (like GPT 3.5, Github Co-Pilot, Amazon Bedrock, etc.) are different from traditional AI/ML models (like Naïve Bayes, KNN, Logistic Regression, SVM, etc.). Large Language Models are…Instruction: Choose the option that best answers the questionTask-specific and require fine-tuning.Pre-trained and can handle various tasks without fine-tuning.Specialized for all tasks without any pre-training.

What does Python use for Natural Language Processing?1 pointNatural Language ToolkitKerasTensorFlowPandas

Question: Large Language Models (like GPT 3.5, Github Co-Pilot, Amazon Bedrock, etc.) are different from traditional AI/ML models (like Naïve Bayes, KNN, Logistic Regression, SVM, etc.). Large Language Models are…Instruction: Choose the option that best answers the questionTask-specific and require fine-tuning.Pre-trained and can handle various tasks without fine-tuning.Specialized for all tasks without any pre-training.None of the above