Hey there, fellow learners! I’ve been diving deep into the world of Large Language Models (LLMs) and transformers for the past few months. It’s clear that skills related to LLM optimization, such as pruning, quantization, and PEFT, are highly valued in the industry. But, I’ve hit a roadblock – I need a more powerful playground to test and train my models.
Running compute-intensive operations on small-time models like BERT and T5 isn’t cutting it anymore. I need a bigger and better environment to handle the workload. So, I’m turning to you, the community, for advice.
Where do you usually run your models to handle heavy computations? Are you using cloud services like AWS or Google Cloud? Or, do you have access to a high-performance computing cluster? I’ve tried Colab with A100, but that’s not a sustainable solution.
I’m looking for a setup that can handle demanding tasks without breaking the bank or sacrificing performance. Any guidance on this would be greatly appreciated.
Let’s discuss the best ways to level up our LLM optimization skills and find the perfect playground for our models!