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Unpaywalled: https://archive.ph/iXnVK

Explore building a Node.js addon with HPX, a C++ parallelization framework. This article covers the integration challenges, such as managing asynchronous operations and reducing performance overhead. Learn how batch predicate functions can enhance the performance of complex algorithms like countIf and sort, while simpler tasks see limited gains. Ideal for developers interested in combining JavaScript with parallel C++ capabilities, the guide includes practical examples and benchmark results.

This article explores the powerful parallelization and distributed computing capabilities of the HPX framework.

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Hi, article author here,

Semantic Kernel and LangChain are both geared towards NLP but they have different takes on it. While LangChain revolves around creating sequences of calls known as "Chains", SK employs a "Kernel" to manage these sequences and has a "Planner" to auto-create chains for new user needs.

SK steps up the game with plugins supporting both semantic and native functions, which isn't a feature in LangChain. Also, SK has a memory feature to store context and embeddings, broadening its use case.

Moreover, SK is more welcoming to C# integration alongside Python, and has a knack for blending AI services like OpenAI with conventional coding, which LangChain doesn't offer.

So, in a nutshell, while there are similarities, SK packs more features and a bit of a different approach compared to LangChain.

Hope this clears things up!

Goes in a similar direction: https://en.wikipedia.org/wiki/Bastard_Operator_From_Hell

Paper:

"Faster sorting algorithms discovered using deep reinforcement learning"

https://www.nature.com/articles/s41586-023-06004-9

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