Why You Should NOT Learn AI in 2023

Рет қаралды 1,666

Күн бұрын

🤖 Think AI is the future of tech careers? Think again! 🛑 Discover why 2023 might be the worst year to start learning AI and what you should focus on instead. 👩‍💻🔍
Intro - 00:00
What is “AI”? - 00:44
Why you should NOT learn AI - 02:21
What to do instead - 03:57
Conclusion - 05:59
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About: Explore why diving into AI as a career in 2023 might be a misstep. This video dissects the rapidly evolving landscape of AI, arguing that the complexities, secrets, and costs of modern AI models make them nearly inaccessible to newcomers. Instead of building AI, learn how to apply it effectively in various industries. Discover insights on AI's current trajectory and what steps you should consider for a more impactful tech journey.

Пікірлер: 15

@gitmaxd 8 ай бұрын

Well said. Things are evolving so fast that there is no ‘technique’. Learning a ‘thing’ today could, and likely will be obsoleted, in a _very_ short time. Your take on this is solid and AWS is a good analogy of where things are at. The change is coming so fast that AI programming library’s are hard to keep current. It’s a job just to keep up with the evolution. Focusing in on a niche is the best way to get started. I did learn AI for AI’s sake, though. I just couldn’t not not learn it. Once you realize the that prompts are like spells and chains create magic there’s no turning back. Your videos are always excellent. Love your style, speed and candor. Keep the videos coming!

@vrsen 8 ай бұрын

Absolutely, I couldn’t agree more. Prompts are literally like magic spells, and niching down is the only way to go when everyone uses the same models. If AI is your passion and you enjoy technical details, than by all means go for it and learn them.

@vaseemakram6692 8 ай бұрын

How Machine Learning can be implemented in Embedded Systems? Could you please provide me some info on it, and things i should refer to know more about it.

@sopulu_ 6 ай бұрын

You said it 👍

@karamwise1 8 ай бұрын

Awesome video. Deploying AI. Product on cloud is really costly even if we opt open source. What's the alternative to save...

@vrsen 8 ай бұрын

No alternatives, unfortunately. LLMs are expensive at scale, but so is hiring people. Just make sure your use case is good, and all the costs will be more than justified

@deltagamma1442 6 ай бұрын

I know langchain and openai assistant, does that make me an ai developer? If so how do I get clients?

@vrsen 6 ай бұрын

I recommend Fiverr/Upwork or warm outreach to get started

@MeTech247 8 ай бұрын

Sir, so you mean it's better to become integrater of different AI models than creating your own?

@vrsen 8 ай бұрын

Yes, exactly.

@peakMomentum1 4 ай бұрын

Didn’t expect this bs from you, the first computer costed more than 400,000$ adjusted for inflation that’s 2M. How is your laptop faster, smaller, and cheaper?