Key Takeaways

  • Machine learning and natural language processing (NLP) are often seen as synonymous due to the rise of AI that generates natural texts using machine learning models.
  • Machine learning involves the development of algorithms that use data analysis to learn patterns and make predictions autonomously, while NLP focuses on fine-tuning, analyzing, and synthesizing human texts and speech.
  • Both machine learning and NLP are subsets of AI, but they differ in the type of data they analyze. Machine learning covers a broader range of data, while NLP specifically uses text data to train models and understand linguistic patterns.