Our first model, the 1.3 billion parameter Phi-1 (opens in new tab), achieved state-of-the-art performance on Python coding among existing SLMs (specifically on the HumanEval and MBPP benchmarks). Over the past few months, our Machine Learning Foundations team at Microsoft Research has released a suite of small language models (SLMs) called “Phi” that achieve remarkable performance on a variety of benchmarks. Satya Nadella announcing Phi-2 at Microsoft Ignite 2023. OL18679610W Page_number_confidence 98.09 Pages 526 Ppi 300 Rcs_key 24143 Republisher_date 20200415080757 Republisher_operator Republisher_time 1003 Scandate 20200413010021 Scanner Scanningcenter cebu Scribe3_search_catalog isbn Scribe3_search_id 9781580422048 Tts_version 3.Marah Abdin, Jyoti Aneja, Sebastien Bubeck, Caio César Teodoro Mendes, Weizhu Chen, Allie Del Giorno, Ronen Eldan, Sivakanth Gopi, Suriya Gunasekar, Mojan Javaheripi, Piero Kauffmann, Yin Tat Lee, Yuanzhi Li, Anh Nguyen, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Michael Santacroce, Harkirat Singh Behl, Adam Taumann Kalai, Xin Wang, Rachel Ward, Philipp Witte, Cyril Zhang, Yi Zhang Figure 1.

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