Hey everyone! I've been working as a developer for about 1.5 years now at a bank/fintech company, right after I graduated. I'm really interested in how others are planning to dive into the AI boom. I follow the developments in AI closely, but I feel like my knowledge on training models and machine learning is quite limited. Should I be focusing on prepping for a role in machine learning, or is it better to improve my skills in integrating and using LLMs and other AI tools? What's the best way to approach this as a developer?
5 Answers
I’m taking a practical approach—solving customer issues as they come. If AI helps, great, but I won’t force it. Many people are jumping on the AI bandwagon without considering if it adds real value. Sometimes less is more!
You definitely need to decide whether you want to integrate AI tools or create them. There’s a lot of opportunity in both areas. If you're more into applying AI to improve processes, stick with that. But if you're interested in the technical side of AI, then diving into ML could be a great fit!
Honestly, AI is sometimes overhyped. Just recently, our company showcased a new AI feature that automatically fills a customer combo box based on previous orders. It felt more like marketing than actual innovation. Not everything labeled as AI is truly groundbreaking.
It’s good to keep learning in this fast-paced industry! The experts building the AI models are often those with PhDs and tons of experience. AI is simply another tool in our toolkit. If you’re a developer, understanding how to use AI can really boost your productivity—think of it as an accelerator for your projects! Just make sure you still grasp the core concepts of coding and the specific needs of your work.
Just using AI tools doesn’t make you part of the AI revolution. You need to be proactive about studying before the wave hits. If you're thinking of jumping into a trendy field, now's the time to build your knowledge base!
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