LM-Kit.NET is a cross-platform Software Development Kit (SDK) tailored for C# and VB.NET developers who seek to integrate advanced Generative Artificial Intelligence (AI) capabilities into their .NET applications. This toolkit simplifies the incorporation of AI functionalities such as text generation, chatbots, content retrieval systems, and natural language processing directly into applications, whether they run on local servers, cloud environments, or on-device hardware.

By providing a powerful and flexible set of tools, LM-Kit.NET enables developers to deploy state-of-the-art AI solutions with minimal effort. It leverages native AI performance on any device, accelerating the development process and significantly reducing the time required to bring AI-powered applications to market.

Key Features at a Glance

• On-Device LLM/SLM Inference++ - Run Large/Small Language Models directly on your hardware, ensuring lightning-fast performance, enhanced security, and full control over your data. Avoid latency caused by cloud-based models, and keep sensitive information within your secure environment. Leverage cutting-edge inference systems, continuously optimized to run LLMs up to 10x faster than conventional frameworks.
• Wide Range of [Gen.] AI Capabilities - From text generation to multi-turn Q&A systems, LM-Kit.NET offers an extensive array of features designed to meet diverse business needs. With features like text translation, text enhancement, Natural Language Processing (NLP), function calling, structured content extraction and custom classification, you can customize your application for any use case.
• Generative AI for C# & VB.NET - LM-Kit.NET brings advanced AI functionalities to any kind of .NET app, providing developers with capabilities like text generation, chat assistance, content retrieval, and much more, all through a simple, native API interface.
• Hybrid CPU + GPU Inference - Maximize performance with hybrid inference, leveraging both CPU and GPU resources for demanding AI models. LM-Kit.NET supports specialized acceleration across NVIDIA CUDA, AMD, and Apple Metal for great performance on any hardware.

Why Choose LM-Kit.NET?

• Optimized for High Performance - LM-Kit.NET has been engineered to ensure top-tier performance across all platforms. Whether your AI models are running on NVIDIA GPUs with CUDA, Apple devices using Metal, or multiple GPUs with Vulkan, LM-Kit.NET automatically optimizes for the specific strengths of each device.
• Enhanced Privacy and Security - Process data locally with LM-Kit.NET's on-device AI inference system. There's no need to send sensitive information to the cloud, providing improved control over your data and compliance with data protection regulations like GDPR and HIPAA.
• Continuously Improved - LM-Kit.NET is developed with a continuous innovation approach, driven by a dedicated R&D team. The team rapidly integrates the latest AI discoveries and research publications, with a strong focus on enhancing both security and performance. This ensures that the SDK evolves with the newest advancements, providing you with cutting-edge tools, top-tier speed, and robust security for AI development.
• Seamless Integration, Minimal Configuration - Deploy LM-Kit.NET into your .NET applications quickly and efficiently with zero external dependencies. The SDK is distributed as a single NuGet package, making integration as simple as a few clicks. With native C# APIs and cross-platform compatibility, LM-Kit.NET allows you to leverage advanced AI with minimal setup.

A Comprehensive AI Toolkit for All Your Needs
LM-Kit.NET delivers a vast array of low-level APIs for developers looking to build custom AI pipelines, along with high-level functionalities across multiple domains. Key capabilities include:

• Text Generation - Automatically generate coherent, contextually relevant text across various domains, from articles to chat responses and marketing content. LM-Kit.NET offers a range of sampling strategies, including temperature, top-k, mirostat, and nucleus sampling, along with custom sampling capabilities. Users can also build fully customized sampling pipelines to suit specific needs. Additionally, the Toolkit includes APIs for guiding text completion with advanced bias strategies, ensuring that generated content meets specific requirements and adheres to desired guidelines. This enables precise control and optimal use of language models to produce high-quality, contextually appropriate content.
• Vision-Enabled AI Agents - Integrate image processing into your chatbot with LM-Kit.NET's Vision Capability. This feature allows the chatbot to analyze and respond to visual inputs, providing image descriptions, object recognition, and visual insights within multi-turn conversations. Suitable for applications in content analysis, healthcare diagnostics, retail product tagging, and security surveillance, the Vision Capability supports various model sizes to accommodate different hardware environments, from powerful servers to edge devices.
• Text Enhancement - Improve the quality of your text with advanced grammar and spell checking capabilities, ensuring error-free writing. Additionally, LM-Kit.NET offers powerful text rewriting capabilities, allowing you to adapt content to different communication styles and languages, ensuring your message is clear, polished, and consistent for your intended audience. Whether for formal writing, casual conversations, or any custom tone, the system enhances both correctness and stylistic appropriateness across various languages.
• Text Translation and Language Detection - Seamlessly convert text between multiple languages with high accuracy, maintaining the original meaning and context. LM-Kit.NET's translation capabilities include robust language detection support, ensuring that the correct language is automatically identified before translation. Whether you're developing multilingual applications or need real-time translation, LM-Kit.NET ensures smooth communication across global markets.
• Structured Data Extraction - Effortlessly extract structured data from sources like invoices, contracts, and medical records. LM-Kit.NET delivers results in structured JSON or via the TextExtraction API. With Dynamic Sampling technology, achieve fast, accurate outcomes, even with smaller models, streamlining your data processing tasks.
• Keyword Extraction - Identify and extract the most relevant keywords or key phrases from diverse text sources. LM-Kit.NET delivers results in structured form via the KeywordExtraction API, ensuring secure, accurate insights for content analysis, search optimization, and topic identification. With Dynamic Sampling technology, achieve fast, high-quality outcomes, even with Small Language Models (SLMs).
• Information Retrieval - Efficiently retrieve relevant information from large datasets or external sources using Retrieval-Augmented Generation (RAG). RAG enhances AI models by integrating up-to-date and accurate data into text generation or question-answering tasks, ensuring that the output is both highly relevant and factually grounded.
• Advanced Natural Language Processing Capabilities - Apply cutting-edge NLP methods such as text classification, sentiment analysis, entity recognition, sarcasm detection, emotion detection, and language modeling to extract meaningful insights from text. LM-Kit.NET enables you to process and interpret language data for a variety of tasks like automating content analysis, detecting nuanced communication, improving customer interactions, or enhancing decision-making.
• Structured Output Generation - Extract structured information based on a predefined scheme. LM-Kit.NET can transform unstructured text into any predefined JSON format or other data formats. This capability allows you to organize content in structured formats, making it ideal for applications like report generation, data extraction, or database population.
• Function Calling - Dynamically invoke specific functions within your application based on generated or analyzed text. LM-Kit.NET's function calling capability allows seamless integration of AI with your existing software, automating tasks such as scheduling, calculations, or database queries based on natural language input.
• Text Summarization - Efficiently generate concise summaries for long-form content, from research papers and business reports to multi-chapter files. LM-Kit.NET's Summarization engine leverages advanced LLMs to automatically adapt to your hardware and model selection, delivering an optimal balance of speed and quality. Configure summary length, optionally generate titles, and employ overflow strategies to handle massive inputs, all while preserving essential context and clarity.
• Model Fine-Tuning - Customize pre-trained AI models to suit your specific use cases, allowing you to optimize performance for your business needs. LM-Kit.NET simplifies the process of fine-tuning models, helping you leverage the power of large language models without requiring extensive machine learning expertise.