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The development of artificial intelligence (AI) technologies is in full swing today, and they have shown great potential and influence in various fields. Today Dayao will share with you 4 .NET open source AI model LLM related project frameworks, hoping to provide you with some reference.
https://github.com/YSGStudyHards/DotNetGuide/blob/main/docs/DotNet/DotNetProjectPicks.md
Semantic Kernel is an open source software development kit (SDK) designed to integrate large language models (LLM) such as OpenAI, Azure OpenAI, Hugging Face, and traditional programming languages such as C#, Python and Java integration. This project allows developers to easily create applications that call these large language models by providing a plug-in system.
BotSharp is an open source AI framework for enterprise-level LLM applications , committed to promoting the development and application of intelligent robot assistants in business-oriented systems. The project covers natural language understanding, computer vision and audio processing technologies, and is promoting the development and application of intelligent robot assistants in enterprise-level systems. BotSharp provides out-of-the-box machine learning algorithms, making it faster and easier for ordinary programmers to develop artificial intelligence applications.
LLamaSharp is a cross-platform library for running LLaMA on a local device /LLaVA model (and other models). It is based on llama.cpp and enables efficient inference on CPU and GPU. By providing high-level API and RAG support, LLamaSharp makes it convenient to deploy large language models (LLM) in applications.
A simple .NET client library, using Accessed via OpenAI’s RESTful API.
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