incubator-gluten
semantic-kernel
| incubator-gluten | semantic-kernel | |
|---|---|---|
| 3 | 47 | |
| 988 | 18,332 | |
| 3.0% | 4.2% | |
| 9.9 | 9.9 | |
| 7 days ago | 4 days ago | |
| Scala | C# | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
incubator-gluten
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A glimpse into the future of data processing infrastructure.
When I first learned about the Gluten project from Intel, I thought Databricks was going to be in trouble.
- FLaNK Stack for 04 December 2023
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Blaze: Fast query execution engine for Apache Spark
Interesting, looks like it is just DataFusion engine for Spark. There is a similar project: https://github.com/oap-project/gluten - it brings ClickHouse as an engine to Spark.
semantic-kernel
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#SemanticKernel – 📎Chat Service demo running Phi-2 LLM locally with #LMStudio
There is an amazing sample on how to create your own LLM Service class to be used in Semantic Kernel. You can view the Sample here: https://github.com/microsoft/semantic-kernel/blob/3451a4ebbc9db0d049f48804c12791c681a326cb/dotnet/samples/KernelSyntaxExamples/Example16_CustomLLM.cs
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Semantic Tests for SemanticKernel Plugins using skUnit
This week, I had the chance to explore the SemanticKernel code base, particularly the core plugins. SemanticKernel comes equipped with these built-in plugins:
- FLaNK Stack for 04 December 2023
- Semantic Kernel
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Getting Started with Semantic Kernel and C#
In this article we'll look at the high-level capabilities building AI orchestration systems in C# with Semantic Kernel, a rapidly maturing open-source AI orchestration framework.
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Agency: Pure Go LangChain Alternative
I'm using Semantic Kernel (https://github.com/microsoft/semantic-kernel) and it's really nice. Makes building more complex workflows really simple without sacrificing control.
A bunch of examples (https://github.com/microsoft/semantic-kernel/blob/main/dotne...) for how to handle just about anything you need to do with OAI with a lot less boilerplate.
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New: LangChain templates – fastest way to build a production-ready LLM app
I haven't tried it but there's Microsoft semantic-kernel.
https://github.com/microsoft/semantic-kernel
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Overview: AI Assembly Architectures
Semantic Kernel github.com/microsoft/semantic-kernel
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Automated Routing of Tasks to Optimal Models: A PR for Semantic-Kernel
The need for efficient model routing has been a point of discussion in the community. Addressing this, I've submitted a pull request to Semantic-Kernel that introduces an automated multi-model connector.
What are some alternatives?
LearningSparkV2 - This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
opaque-sql - An encrypted data analytics platform
langchain - 🦜🔗 Build context-aware reasoning applications
blaze - Blazing-fast query execution engine speaks Apache Spark language and has Arrow-DataFusion at its core.
guidance - A guidance language for controlling large language models.
blaze - NumPy and Pandas interface to Big Data
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
Jupyter Scala - A Scala kernel for Jupyter
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
kyuubi - Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks