As an AI language model, I can provide you the list of 15 AI alternatives that can be considered:
OpenAI GPT-3: A highly effective and widely used AI language model for natural language processing tasks.
Google Cloud Natural Language API: A machine learning tool for sentiment analysis, content classification, and entity recognition.
IBM Watson: A cognitive AI platform that provides natural language understanding, machine learning, and data analysis capabilities.
Microsoft Cognitive Services: A collection of AI services for vision, speech, language, and knowledge.
BERT: A widely-used open-source language model for natural language processing that was developed by Google.
TensorFlow: A leading open-source software library for data flow and neural networks, developed by Google.
PyTorch: An open-source machine learning library designed to work with Python.
Apache MXNet: Open-source deep learning framework developed by Amazon.
Kaldi: A toolkit made for speech recognition research and development.
Theano: An open-source deep learning library that was developed by the Montreal Institute for Learning Algorithms.
NLTK: Natural Language Toolkit is a platform for building Python programs to work with human language data.
Fasttext: An open-source, free, lightweight text classification library made by Facebook.
spaCy: An open-source software library for advanced natural language processing in Python.
Wit.ai: A natural language processing tool for building conversational interfaces.
Hugging Face Transformers: A platform for building natural language processing models built on top of PyTorch and TensorFlow.
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