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.

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.

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).

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.