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I found that the current problem can only run on CPU model on Apple silicon chip. I don't know if the GPU method which is 'mps' can be added. I set the parameters as mps, but it didn't work.
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Splitting this out from the unrelated issue:
> Not sure if the implementation/etc would be compatible, but here's another distributed StableDiffusion training project a friend recently linked…
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Dear Team,
I there any road map on this project of functionality addition like voice chat, AI, machine learning, nlp engine, file upload, analytics, dash board of missing leads, logs download, etc
O…
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**High-Level Description:**
Develop a feature that allows users to load a new document and initiate AI agent training using a selected Language Learning Model (LLM) for improved conversational capab…
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## Problem:
1. Manifold Learning Umap `Unsupervised` and `Supervised` cells generate the wrong results
2. Warning that there is no CPU implementation provided
## Environment
1. NVidia AI worksta…
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Bonjour
Je viens de recevoir un rfplayer. Lorsque j'active le learning mode et que je presse un bouton de ma telecommande de volet roulant j'ai bien un nouveau device qui apparait.
Seulement lors…
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Any plans to publish solutions to the exercises?
2c2c updated
3 months ago
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**Bug Description**
no mudule named gradio would you fix repair this bug in the next version cant make ai cover anymore
**Steps to Reproduce**
x
**Expected Behavior**
x
**Assets**
x
**…
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After following https://www.kaggle.com/learn/deep-learning with Tensor Flow and Keras (and Kaggle data and pretrained models) is pretty easy today to offer a service for detecting "things" inside imag…
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Snappydata is:
1. spark which allows us to use machine learning algorithms from spark
2. a sql database which allows us to use standard sql
3. apache licensed which is the same license as octo.ai
4. a…