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3. Attention mechanism :
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Therefore, I recommend running mamba install first and if you get error “cannot resolve dependencies,” then try conda install for more power, at the cost of being slow. If you have to pick one, conda is strictly more capable.
Cheap compute
The benefit: sudo access on modern hardware and clean environments, perfect for when dependency-hell makes you want to scream, especially after using outdated HPC libraries.
- Google Colab (free or paid)
- Kaggle kernels (free)
- LambdaLabs (my favorite for cheap GPU)
- DataCrunch.io (my favorite for cheap GPU, especially top-of-the-line a100s 80G)
- Grid.ai (From the creator of PyTorch Lightning)
- PaperSpace Gradient
- GCP and Azure — lots of free credits floating around.
- Azure is one of few that have 8x80GB A100 systems. For ~$38/hr. Still, sometimes you may need that.
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