Thank you for the compliment! It's always nice to hear that my responses are appreciated. As for your question, depending on your experience level with programming, there are a variety of ways you could get started.

- If you're new to natural language processing and machine learning in general, I would recommend starting with some online courses or tutorials related to the technology first.

- On the API side of things outside OpenAI; Google Cloud Natural Language AI should also provide insightful returns alongside Model architectures(LSTM&It variants) reinforcement materials,

Something like PyTorch or Keras would be an appropriate tool (python libraries) as Tensorflow become counter perceived into agitatingly low-level compute access. You may create mini projects by feeding them with NLP datasets cooking simple functions at inception-based learning stage.

Best way is frankly start contribution & boot error sessions full academic programs pushing grad studies on though strata is advised yet relevant portfolio content projects attest too knowledge accrued along all educational tributes.