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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
When evaluating a RAG retrieval service using the llama-index evaluation method, I encou…
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**Is your feature request related to a problem? Please describe.**
https://numpy.org/doc/stable/reference/random/legacy.html#numpy.random.RandomState
> The [RandomState](https://numpy.org/doc/stab…
wyli updated
10 months ago
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## Todo : LPR service (karan)
- [ ] Implement seldon for model serving
- [ ] Run the service against images-corpus and check on what all images it can detect LP , move those to images to public S3…
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High-frequency pv simulations are useful in several contexts including grid impact studies and energy storage simulations. The scarcity of high-frequency irradiance datasets has spurred the developme…
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### What happened + What you expected to happen
When there are enough resources to run, Ray Data should schedule tasks as quickly as possible. But in a task timeline for a no-op Dataset that sleeps i…
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### Describe the issue:
I want to fit a linear model to data using Bayesian inference technique. After training a model, I want to test its performance on new data and that's where the problem occu…
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Hi. I tested the model with various kinds of wave files as source. I notice that at inference time, the model performs well with clean source files, but for those not so clean audio files (e.g. 24khz …
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Repro command: `gdb --args python -m pytest test/inductor/test_torchinductor.py::CpuTests::test_multi_gpu_recompile_on_index_cpu test/inductor/test_torchinductor.py::GPUTests::test_mixed_mm_cuda` (may…
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At the moment results could be skewed quite a bit from run to run.
Ideally each test should run a minimum of 3 times, randomize library order at least, and take some average
luwes updated
4 years ago
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Following in your footsteps, you are understanding and utilizing the realtabformer.
But there are many things I don't understand.
1. The number does not match the data in the kaggle as to where …