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**Course website**: https://eda.rg.cispa.io/edu/tada24/
**username**: tada
**password**: TAda!
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This lecturer also provided a fun presentation of `how to survive a PhD` in https://eda.rg.c…
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# Outline
This post will elaborate on how to effectively use Machine Learning infrastructure. Namely, the best practice in building, maintaining and scaling production-ready deep learning systems.
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1. Cassandra installation (Done Using DATAStax)
2. Cassandra Hands On (Basic commands are practices using the CQLSH)
2. API building to connect with Cassandra (Checked REST API for reference but nee…
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Continue developing the prompt engineering aspect of the text2text service. This involves refining how prompts are handled to improve the effectiveness and accuracy of text conversions. Refer to promp…
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Goal: recover deep learning jobs, minimize data sync for reusable machines (#209)
Cloud data sync - all data syncs through a cloud directly (S3, etc). This scenario does not include direct data syn…
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I am trying to run the Solar model, but I am constantly failing. Here are my attempts:
1. [quantized] example (modified) with the Quantized Solar model (local)
: Failed. It only outputs nonsense…
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### Organization Name
Lucenia
### Main office location
San Francisco, CA
### What regions of the world do you serve?
Global
### Business description
Lucenia is an enterprise search engine based…
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**Is your feature request related to a problem? Please describe.**
NAPS2 is great - it's very useful to me and many others, and a big part of the utility it offers is the integrated OCR function, sin…
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**Key Objectives:**
Pre-trained Models: We aim to provide a comprehensive collection of pre-trained models in PyTorch, spanning different domains like computer vision, natural language processing, …