Scikit-LLM vs Semantic Kernel

Overview

Scikit-LLM

Stacks1

Followers3

Votes0

Semantic Kernel

Stacks6

Followers4

Votes0

GitHub Stars26.6K

Forks4.3K

🔥 Trending in Text & Language Models on StackShare

OpenAI AI Text Language Models

Creating safe AGI that benefits all

Try it View Docs Alternatives

Try

194

Detailed Comparison

Scikit-LLM	Semantic Kernel
It integrates powerful language models like ChatGPT into scikit-learn for enhanced text analysis. It automates querying the OpenAI API, converts the response into labels, and ensures valid labels are obtained.	It is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. It achieves this by allowing you to define plugins that can be chained together in just a few lines of code.
Seamless integration of language models like ChatGPT into scikit-learn; Automatic querying of the OpenAI API; Conversion of responses into labels	SDK that integrates LLMs with conventional programming languages; Has the ability to automatically orchestrate plugins with AI; Highly extensible
Statistics
GitHub Stars -	GitHub Stars 26.6K
GitHub Forks -	GitHub Forks 4.3K
Stacks 1	Stacks 6
Followers 3	Followers 4
Votes 0	Votes 0
Integrations
ChatGPT	Python C# Hugging Face Java OpenAI

What are some alternatives to Scikit-LLM, Semantic Kernel?

Clever AI Humanizer

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

LangChain

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

Ollama

It allows you to run open-source large language models, such as Llama 2, locally.

LlamaIndex

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

LangGraph

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

LangSmith

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

GPTScript

It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.

Vercel AI SDK

It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.