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From Pandas to Ray Data: Scaling Embedding Generation Pipelines
| | bdtechtalks.com
No-code retrieval augmented generation (RAG) with LlamaIndex and ChatGPT - TechTalks
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| | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision.
| | engineering.zalando.com
Zalando's Machine Learning Platform
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| | Architecture and tooling behind machine learning at Zalando
| | www.anyscale.com
From Pandas to Ray Data: Scaling Embedding Generation Pipelines
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| | An end-to-end guide to transitioning from a pandas-based implementation to a scalable Ray Data solution. Get started with Ray Data today.
| | 10xlearner.com
MCS 0010 : Pytest main, std::optional, Area 51 - 10xlearner
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| Today, I propose the 3 following articles to start your day. Simplifying Test Execution with pytest.main() This article explains all the use you can have of the function 'pytest.main'. Since I am currently leveling up my knowledge of the python language/environment, this article comes at the perfect time ?? std::optional In this article, you will...