What are the applications of LSTM in AI?
An example of an AI chatbot conversation about applications of LSTM in AI.
What are the applications of LSTM in AI?
LSTM, or Long Short-Term Memory networks, are widely used in various AI applications such as natural language processing, speech recognition, and time series forecasting.
Can you explain how LSTM is used in natural language processing?
In NLP, LSTMs help in tasks like language modeling, text generation, and sentiment analysis by effectively capturing long-range dependencies in text.
What about their use in speech recognition?
LSTMs are used in speech recognition to model sequences of audio signals, allowing the system to understand spoken language more accurately.
Are there any limitations to using LSTM?
Yes, LSTMs can be computationally intensive and may struggle with very long sequences compared to newer architectures like Transformers.
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