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**Describe the bug and context**
I'm trying to quantize an optimized Stable Diffusion model.
I got to know that `IncDynamicQuantization` has less reduction in inference speed than `OnnxDynamicQuanti…
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**#searchEngine**
import os
import nltk
import string
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
# S…
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# Layer of Abstraction When Building "Tensorflow" for Search · Han Xiao Tech Blog - Neural Search & AI Engineering
Since Feb. 2020, I started a new venture called Jina AI. Our mission is to build an …
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Built and trained a convolutional neural network in Keras with TensorFlow as backend from…
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### Is your feature request related to a problem?
Currently, there is no way to use efficient k-NN filtering with a Neural query ([documentation](https://opensearch.org/docs/latest/query-dsl/speciali…
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# Reference
- 04/2019 [NAS-Unet: Neural Architecture Search for Medical Image Segmentation](https://github.com/junxnone/tech-io/files/4964014/08681706.pdf)
- [NasUnet Code](https://github.com/tian…
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## What/Why
### What are you proposing?
With 2.15 version there has been lot of progress in area of improving search latency for Hybrid query (changes that are done under umbrella of https://github.…
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### What is the bug?
I have deployed the neural search plugin on a cluster with 2 nodes. I see that the `k` variable returns different vectors for each node for the same index using the same model an…
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Hey, thanks for your amazing work!
can you share the Latency Estimator and the evolutionary search code based on the neural-network-twins to get a specialized sub-network?
Thanks
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**Describe the bug**
Both of the queries provided below will throw StopIteration errors even when the http requests are successful.
**To Reproduce**
```
import logging
import sys
# Configure…