semantic-kernel
agency
Our great sponsors
| semantic-kernel | agency | |
|---|---|---|
| 47 | 3 | |
| 18,111 | 375 | |
| 6.4% | 7.5% | |
| 9.9 | 8.2 | |
| 5 days ago | 15 days ago | |
| C# | Go | |
| MIT License | 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.
semantic-kernel
-
#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
-
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
-
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.
-
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.
-
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
-
Overview: AI Assembly Architectures
Semantic Kernel github.com/microsoft/semantic-kernel
-
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.
agency
-
Agency: Pure Go LangChain Alternative
I would, at the very least, wrap the errors being returned inside the process function https://github.com/neurocult/agency/blob/14b14e50a7570189388...
Or, I suppose the user must handle exception behavior in their custom `OperationHandler`
-
🕵 Agency: The Go Way to AI. Part 1
Recognizing the need for a Go-friendly tool that’s simple yet powerful, we developed Agency. This Go library, designed with a clean approach, matches Go's strengths in a static type system and high performance. It's our answer to bringing easy-to-use, efficient AI capabilities to Go developers.
What are some alternatives?
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
langroid - Harness LLMs with Multi-Agent Programming
langchain - 🦜🔗 Build context-aware reasoning applications
guidance - A guidance language for controlling large language models.
go-openai - OpenAI ChatGPT, GPT-3, GPT-4, DALL·E, Whisper API wrapper for Go
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
humanscript - A truly natural scripting language
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
yay - 🐹 interact with openai api from command line
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
langchaingo - LangChain for Go, the easiest way to write LLM-based programs in Go