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jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
If you’re also curious how it does vs GPT3 here’s the Zero-shot performance evaluations table: https://github.com/kingoflolz/mesh-transformer-jax#zero-shot...
This is first time for me to see JAX [1] being used by non-Google employee. Is it getting some momentum? Or this person just happened to pick it up for some reason (for, say, better TPU support)?
[1] https://github.com/google/jax
Still upset about the pile as a dataset because I wrote an issue asking if they would include my dataset debatesum into the dataset[1]. They mentioned that they planned to do it and even wrote another issue indicating that they would include it in the pile.
Months go by, and I ask why this dataset is still not included. They told me that the pile is complete and will not be updated anymore. I didn't have time to write my own PR for this and had no idea that there was a time limit to get it in.
Makes me sad. I don't know why this company has decided to stop updating the pile...
[1] https://github.com/EleutherAI/the-pile/issues/56
I'm running it quite comfortably on my 3090, although it's a really snug fit for the VRAM, and that's with a number of fixes to significantly reduce its memory use from https://github.com/AeroScripts/mesh-transformer-jax .