LLMpeople
Home People Organizations Reports Fields Schools
Public Atlas People first, reports as evidence, organizations as context.

Atlas / Reports / Detail

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Language Models

Microsoft2024-04-227 researchers
Field
Language Models
Organization
Microsoft
arXiv
2404.14219

Canonical link

https://arxiv.org/abs/2404.14219

Connected researchers

Profile Reports

Jake Bubeck

Microsoft

Jake Bubeck is a scientist at OpenAI whose public work studies what large foundation models can do and how they behave. He previously worked at Microsoft Research on foundation models and algorithms.

Microsoft
Unknown 1
Profile Reports

Jianwei Yang

Microsoft

Jianwei Yang is a researcher working on computer vision, multimodal learning, and large-scale foundation models. His public profile highlights object detection, image understanding, and vision-language systems.

Microsoft
Unknown 1
Profile Reports

Ronen Tamir

Microsoft

Applied Scientist at Microsoft. Publicly listed research interests include language models, deep generative models, vision and language, and multimodal reasoning; his homepage also lists the Phi-3 Technical Report among his publications.

Microsoft
Israel 1
Profile Reports

Marah Abdin

Microsoft

Senior researcher and research manager at Microsoft, leading the Phonological Processing and Structured Knowledge team.

Microsoft
Unknown 1
Profile Reports

Rory Eldan

Microsoft

Principal applied science manager and technical lead for Microsoft's Phi family of small language models. His public profile says he works on large language models and previously researched factuality and hallucination reduction.

Microsoft
United Kingdom 1
Profile Reports

Saman Amiri

Microsoft

Profile still being enriched.

Microsoft
Unknown 1
Profile Reports

Omer Shaked

Microsoft

Profile still being enriched.

Microsoft
Unknown 1

LLMpeople is a public atlas for discovering frontier AI researchers with context, provenance, and respect.