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Survey on Accelerating Deep Learning
Please provide details on your experience and plans with LLMs
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Name
Your answer
Company
Your answer
Title
Your answer
Email Address
Your answer
What is your deep learning experience level?
Beginner
Intermediate
Advanced
Expert
Clear selection
What types of deep learning models do you typically work with? (Check all that apply)
CNNs
Transformers
Diffusers
RNNs/LSTMs
MLPs
GNNs
DLRMs
Other:
What kinds of data do you use for training your DL models? (Check all that apply)
Text
Images
Time series/events series
Video
Audio
Tabular
Multimodal (e.g. Text + Tabular)
Other:
What is the range of sizes of the datasets you use for DL training/tuning?
< 50GB
50GB - 500GB
500GB - 1TB
1TB - 10TB
Over 10TB
What DL frameworks do you primarily use?
PyTorch
Tensorflow
Keras
Other:
Where do you perform DL training/tuning?
AWS
Azure
GCP
Oracle
On Premise
Other:
How often do you retrain or update deployed models? (Check all frequencies that apply)
Daily
Weekly
Monthly
Quarterly
Less than quarterly
Roughly how much does your team spend per year on your DL infrastructure?
Under $25K
$25K to $100K
$100K to $500K
$500K to $1M
Over $1M
Don't Know
Clear selection
What are the main issues or bottlenecks you encounter during the DL training/tuning process?
Your answer
How long does the end-to-end process take for training/tuning your DL models?
Your answer
What challenges do you face in handling data preprocessing or iterating on data representation for DL training/tuning?
Your answer
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