#Microsoft Research

Muzic, developed by researchers at Microsoft Research Asia, explores AI in music understanding and generation via deep learning. It includes innovations like MusicBERT for symbolic music, PDAugment for lyrics transcription, and CLaMP for pre-training. Music creation technologies such as SongMASS and PopMAG are included for songwriting and accompaniment, respectively. MuseCoco and HiFiSinger are featured for text-to-music translation and singing synthesis, with MusicAgent using large language models for enhanced music processing.

Garnet is a high-performance remote cache-store by Microsoft Research, leveraging the RESP protocol for broad language compatibility. It delivers enhanced throughput and low latency with .NET technologies on cloud VMs. Garnet offers a robust API suite, secure TLS communications, and a versatile storage layer, making it ideal for developers requiring multi-key transactions and cluster operations in modern applications.

AICI provides a framework for developers to create versatile and secure controllers to efficiently manage and refine the output of large language models (LLMs). It simplifies the development of controllers, offering compatibility with diverse inference engines like llama.cpp and HuggingFace Transformers. These controllers are implemented as WebAssembly modules that run concurrently with the LLM engine, ensuring minimal overhead and enhanced performance. Experience flexible experimentation and tailored solutions with upcoming multi-tenant deployments prioritizing security and efficiency.

Discover a wide range of resources on interpretable machine learning, featuring comprehensive research summaries, customizable presentations, and practical cheat sheets. Developed by a Microsoft Research expert, this site provides valuable insights into interpretable AI, causal inference, and other topics, aiding students and professionals in mastering complex subjects.

This API integrates Microsoft's GraphRAG technology with Open WebUI to provide advanced search capabilities. It supports local, global, and Tavily search methods, ensuring privacy through local language models such as Ollama and LM Studio. The system delivers comprehensive and precise search results, meeting diverse information retrieval needs. Suitable for developers seeking effective search solutions in web applications.