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- ✨ Dynamic Sampling – Up to 75% Error Reduction and 2x Faster Processing for LLMs
- 🧩 Function Calling Support - Dynamically invoke functions directly from model outputs.
- 🎮 Vulkan Backend - Accelerated multi-GPU support for AMD, Intel, and NVIDIA.
- 👁️ LM-Kit Goes Multimodal: Introducing Vision Support - Image understanding now available.
- 🧠 Semantic Kernel Integration (Open Source) - Build intelligent workflows with Microsoft’s Semantic Kernel + LM-Kit.NET.
- 🔗 New Vector Database Connector (Open Source, Qdrant Support) - Easily integrate semantic search and hybrid RAG pipelines.
- 🧬 New Built-in Vector Database Engine - Store and Retrieve Embeddings at Any Scale.
- 🌐 Multimodal RAG with Reranking Support - Improve accuracy with multimodal retrieval-augmented generation and reranking.
- 🏷️ Multimodal Named Entity Recognition - Detect and classify entities (people, organizations, locations, etc.) across text and images.
- 🛡️ Multimodal PII Extraction - Identify and extract personally identifiable information from text and images for compliance.
- 🎙️ Speech-to-Text Support - Convert spoken audio into highly accurate text transcripts, supporting 100 languages.
With LM-Kit.NET, integrating or building AI is no longer complex.
LM-Kit.NET is a cross-platform SDK that brings together LLMs (Large Language Models) and SLMs (Small Language Models) for an extensive range of AI functionalities. It enables Quick-Start AI Agents, supports multi-agent orchestration, and offers a consistent API for C# and VB.NET. Whether you want to customize existing AI agents or build new ones, LM-Kit.NET provides a robust and streamlined approach to modern AI development.
AI Agent Runtime for .NET
LM-Kit.NET delivers Multimodal Generative AI solutions for .NET, facilitating the creation and customization of AI Agents as well as comprehensive multi-agent coordination. Its capabilities, ranging from data processing, text analysis, and translation to text generation and model optimization—integrate smoothly into your .NET projects. By leveraging cutting-edge AI techniques, LM-Kit.NET empowers developers to build advanced solutions with minimal complexity.
👉 Find additional documentation and detailed guides in the LM-Kit Docs: https://docs.lm-kit.com
LM-Kit.NET offers a wide array of advanced AI features that can be seamlessly integrated into your .NET applications:
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Interactive Question & Answering
Deliver concise responses to user queries, handling both single-turn and multi-turn interactions. -
Automated Text Generation
Dynamically create context-appropriate content tailored to your needs. -
Structured Text Creation
Enforce output formats using JSON schemas, grammar constraints, templates, or other structural rules. -
Grammar & Spelling Correction
Automatically enhance content quality by fixing errors in spelling and syntax. -
Style-Specific Rewriting
Adjust the tone or style of text to align with specific communication goals. -
Seamless Language Translations
Convert text between different languages without compromising context or accuracy. -
Speech-to-Text
Convert spoken audio into highly accurate text transcripts, supporting 100+ languages. -
Accurate Language Identification
Determine the original language of any given text with high precision. -
Concise Text Summaries
Produce clear, focused summaries from extensive documents for faster comprehension. -
Quality Assessment
Evaluate text quality using various metrics, ensuring relevance and clarity. -
RAG-Enhanced Generation
Elevate text output by retrieving pertinent information from external repositories. -
Dynamic Function Invocation
Invoke specialized functions in your application on-demand to handle diverse tasks. -
Semantic Embeddings
Transform textual or image data into meaningful numeric representations for improved retrieval and analysis. -
Customizable Data Extraction
Extract and organize information from diverse sources using flexible schemas. -
Tailored Classification
Assign text to predefined categories, streamlining workflows and content management. -
Sentiment & Emotion Analysis
Detect the emotional stance of text and pinpoint specific feelings. -
Sarcasm Detection
Recognize ironic or sarcastic nuances in written material. -
Keyword Mining
Isolate critical terms and phrases from large datasets with ease. -
Code Processing
Analyze and transform programming code for enhanced development efficiency. -
Image Analysis (Vision Support)
Extend AI capabilities to interpret and evaluate images. -
Multimodal Named Entity Recognition
Detect and classify entities (people, organizations, locations, etc.) across text and images. -
Multimodal PII Extraction
Identify and extract personally identifiable information from text and images for compliance. -
Model Quantization & Optimization
Streamline both LLMs and SLMs for faster inference and lower computational overhead. -
Fine-Tuning & LoRA Integration
Adapt base models to meet domain-specific needs, incorporating Low-Rank Adaptation (LoRA) for efficient training. -
And More…
Explore additional features to supercharge your AI-driven solutions.
LM-Kit.NET is powered by llama.cpp, ensuring best-in-class performance across a variety of hardware setups with minimal configuration and zero external dependencies.
All processing happens on-device (edge computing), giving you full control and tunability for inference. Additionally, LM-Kit.NET supports an expanding list of model architectures, including Gemma-3, LLaMA-3, LLaMA-4, Mistral, Falcon, Phi 4, Qwen2.5-VL, and more.
Leverage CUDA on NVIDIA GPUs, Metal on Apple devices, and Vulkan for multi-GPU setups (AMD, Intel, NVIDIA), ensuring top-tier performance regardless of your hardware.
Enjoy a core system optimized for diverse scenarios, with advanced caching and resource recycling that enables consistent high performance in single or multi-instance environments.
Experience up to 5x faster inference speeds, backed by continuous refinements and rigorous benchmarking to keep you ahead of the competition.
All inference is performed locally, meaning no data ever leaves your device. This ensures:
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Enhanced Privacy
Eliminates the need to send sensitive data to external servers. -
Increased Security
Minimizes risks of interception or unauthorized access. -
Faster Response Times
Reduces latency by avoiding remote server round trips. -
Lower Bandwidth Usage
Cuts down on internet data transfer, ideal for limited connectivity. -
Regulatory Compliance
Helps satisfy GDPR, HIPAA, and other data protection requirements by keeping data on-premises.
LM-Kit.NET is distributed as a single NuGet package, making it incredibly easy to include in your .NET applications:
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Streamlined Integration
No need for containers or complex setup—just a few clicks in Visual Studio or your preferred .NET IDE. -
Direct In-Process Execution
Avoid the overhead of additional services or containers, reducing latency and simplifying deployments. -
Efficient Resource Management
Operates within your existing .NET process, making it suitable for resource-constrained environments. -
Enhanced Reliability
By steering clear of external dependencies, LM-Kit.NET offers stable and predictable performance.
- Windows: From Windows 7 to the latest release
- macOS: macOS 11 and above
- Linux: Distributions with glibc 2.27 or newer
- .NET 4.6.2 through .NET 9
Explore the LM-Kit section on Hugging Face for quantized models tested with LM-Kit.NET. You can also seamlessly load models from Hugging Face repositories using the Hugging Face API, simplifying model discovery and deployment.