Atlas / Reports / Detail
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Language Models report from Microsoft with 7 connected researchers in the LLMpeople atlas.
Connected researchers
Marah Abdin
Microsoft
Senior researcher and research manager at Microsoft, leading the Phonological Processing and Structured Knowledge team.
Saman Amiri
Microsoft
Public report authorship links Saman Amiri to the Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone at Microsoft.
Jake Bubeck
Microsoft
Public report authorship links Jake Bubeck to the Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone at Microsoft.
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.
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.
Omer Shaked
Microsoft
Public report authorship links Omer Shaked to the Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone at Microsoft.
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.