Scientific Paper · source-verified

Textbooks Are All You Need

Gunasekar et al. · 2023-10-02

Phi-1, a compact 1.3B parameter Transformer-based language model for code, achieves strong performance on HumanEval (50.6%) and MBPP (55.5%) despite its small scale, benefiting from high-quality web data and GPT-3.5-generated training materials.

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Gunasekar et al.. 2023-10-02. Textbooks Are All You Need. https://arxiv.org/pdf/2306.11644 (AI & Environment Resource Hub; record paper-071; collection snapshot 2026-09-15).

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Author or creator
Gunasekar et al.
Publisher
arXiv
Publication date
2023-10-02
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:44:29.370Z
Snapshot import
2026-09-06
Legacy domain
Sustainable Computing & AI Footprint
Legacy subdomain
Using AI Models and Computer Performance for Code
journal
arXiv

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Source sheet: Scientific Paper · Row 75 · Original ID: paper-071.

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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

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