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From Pandas to Ray Data: Scaling Embedding Generation Pipelines
| | ninkovic.dev
RAG from scratch series - part 1
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| | First part in the blog series of how to build a RAG (Retrieval Augmented Generation) system from scratch. Aimed at beginners, the blog will introduce you to foundational concepts and pieces which are needed to build such a system. The blog comes with code and step by step implementation.
| | 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.
| | anyscale-staging.herokuapp.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.
| | morestina.net
Parallel iteration in Python | More Stina Blog!
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| Several months ago a StackOverflow user asked an interesting question: Imagine we have an iterator, say iter(range(1, 1000)). And we have two functions, each accepting an iterator as the only param...