It's like asking " do you really need to study multiplication, division, addition and subtraction since the calculator does all these things for you".
You need to know fundamentals or else how will you pinpoint issues in the pipeline when the system is in place.
That's a good point,
I was curious if I would need NLP in future as a Data Scientist or MLOps engineer, I am rooting for these two jobs.
If you wish to create your own Jarvis, ChatGPT than definitely. Compilers, NLP that GenAI.
That is a very good question. I think you should still study to have a better understanding of how things are working
Learning the basics and workings of NLP is always beneficial. Nowadays the work is geared more towards how you apply the LLMs. Knowledge of NLP like tokenization, how you fine-tune is always going to help. How you apply NLP has changed but it is not going away.
I think a lot of work is still to be done. OpenAI will improve multifold and the journey has just started.
I think people who understand NLP well will be the ones that will contribute to OpenAI/Gemini etc..
The jobs to create such services will only increase.
Automation look away manual jobs but many jobs in research development etc. Same will apply here
I am an ML enthusiast and have been learning Reinforcement Learning and other Algorithms to shift my profile to ML engineer. But as soon as I started applying for jobs, every job is looking for people who have experience in GENAI, LLMs, ...
I recently switched job and have experienced this first hand. Every other company is looking to build eitheir own llm...
