What Programming Language Should I Use for AI Development and Thesis Ideas?

If you're just starting your CS journey and questioning basic principles like programming languages for AI, it might be worthwhile to bolster your foundation before tackling advanced topics. But don’t worry, everyone starts somewhere!

It really depends on how you define "AI." The term is often thrown around to refer to large language models, but there's more to it! Neural networks and decision trees are also part of the AI landscape. While Python is the most common language used, remember that many AI algorithms can technically be implemented in any Turing-complete language. For your thesis, consider training a neural network or maybe even devising a simple transformer model!

Your thesis could go in many directions based on your understanding of AI. A lot of AI applications simply use existing models to serve specific functions. For instance, imagine creating an app that categorizes items automatically using AI without users knowing it’s happening behind the scenes. However, if you want to dive deep, training your model from scratch using your own data in Python would be much more challenging but rewarding.

Python is definitely the go-to language for AI development, mainly because of its ease of use and extensive libraries like PyTorch and TensorFlow. If you're a beginner, Sci-kit Learn is also a great alternative. Just a heads up, though, AI often gets marketed broadly but tends to focus on machine learning, which can get pretty technical and statistics-heavy.