As I am currently learning Deep Learning specialization, it takes a lot of time, so I decided to use existing generative AI to keep up with the flow of AI advancements. Is it a good idea to build my own AI model for specific tasks using existing LLMs, or should I stick with the traditional way of learning?
This depends on what your individual goals are.
Also, it depend on how much you trust the generative AI results.
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I am in the pre-final year of my B. Tech. Based on the question I asked earlier, could you please suggest the best direction for me to take? Additionally, I would appreciate any advice on how I can improve.
I recommend you study both methods. They each fill different roles.
Improvement comes through study and experience.