Papers

A Microsoft research initiative on fundamental technology for building AI products with large language and multimodal models, covering prompt optimization, long context, alignment, faster inference and domain adaptation.

• Models
• Papers

A curated list of LLM and VLM inference research papers with accompanying code, covering Flash-Attention, Paged-Attention, quantization, parallelism and related inference-optimization techniques.

• Curated lists
• Papers

A curated, actively updated list of practical resources on using large language models, based on a survey paper, including an evolutionary tree of notable models and their usage restrictions.

• Curated lists
• Papers

A curated, continually updated list of papers, surveys, benchmarks and datasets on multimodal large language models, covering instruction tuning, in-context learning, chain-of-thought reasoning and evaluation.

• Curated lists
• Papers