Any guidance on where to begin or which areas to focus on would be greatly appreciated. While I prefer online courses, I’m also open to other learning formats like books, YouTube channels, or tutorials.
Thanks in advance for your advice!
Any guidance on where to begin or which areas to focus on would be greatly appreciated. While I prefer online courses, I’m also open to other learning formats like books, YouTube channels, or tutorials.
Thanks in advance for your advice!
If it's the former - skip the math and start calling APIs. OpenAI, Anthropic, or open-source models via Replicate. Spend a week building something real: add a chatbot to your product, build a document Q&A system, whatever solves an actual problem.
The deep learning theory? You can learn that later if you actually need to fine-tune models or optimize inference. Most developers never do. Don't let the AI hype convince you that you need a PhD to ship useful AI features.
If it's the former - skip the math and start calling APIs. OpenAI, Anthropic, or open-source models via Replicate. Spend a week building something real: add a chatbot to your product, build a document Q&A system, whatever solves an actual problem.
Focus on prompt engineering, handling token limits, streaming responses, managing costs, error handling. These are the 80% of "AI development" for application builders.
The deep learning theory? You can learn that later if you actually need to fine-tune models or optimize inference. Most developers never do. Don't let the AI hype convince you that you need a PhD to ship useful AI features.
True experienced developers have learned how to solve any programming problem. This related reading was actually yesterday mentioned at HN: https://beej.us/guide/bglcs/
sloaken•3mo ago
My second class is on to go agentic AI (calling AI from a program).
I recently attended a short presentation on RAG (ask Chat GPT). This filled in a lot of holes in my brain about LLMs.