What are the biggest challenges in LLM training right now? or How much data do you really need for ef

"What are the biggest challenges in LLM training right now?"

Hey folks!

So, I've been diving deep into LLM training lately, and man, it's *not* easy. The biggest headaches?

1. Data quality – Garbage in, garbage out, right? Cleaning and curating datasets is a nightmare.
2. Compute costs – GPUs ain't cheap, and training a decent model burns cash like crazy.
3. Overfitting – Getting a model to generalize well? Ugh, so tricky.

And don’t even get me started on fine-tuning vs. full training debates.

What’s your take? Anyone found workarounds for these LLM training struggles?

(Also, sorry for typos – typing this on my phone lol.)

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*Word count: ~90*