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Computing & AI · Source-linked note

Gunasekar and colleagues: textbook-quality data and phi-1

Trained the 1.3B-parameter phi-1 code model using selected web data and synthetic textbook-style material, reporting strong Python coding benchmark results for its size and training budget.

What is recorded here?

Trained the 1.3B-parameter phi-1 code model using selected web data and synthetic textbook-style material, reporting strong Python coding benchmark results for its size and training budget.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The paper evaluates a coding-focused model on specified benchmarks; it does not show that curated or synthetic data alone is sufficient for all language-model capabilities. Reported benchmark scores are author results, not independently replicated here.

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People and systems

Suriya Gunasekar; Yi Zhang; Jyoti Aneja; Caio César Teodoro Mendes; Allie Del Giorno; Sivakanth Gopi; Mojan Javaheripi; Piero Kauffmann; Gustavo de Rosa; Olli Saarikivi; Adil Salim; Shital Shah; Harkirat Singh Behl; Xin Wang; Sébastien Bubeck; Ronen Eldan; Adam Tauman Kalai; Yin Tat Lee; Yuanzhi Li

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

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English catalogue narrative

Gunasekar and colleagues: textbook-quality data and phi-1

Trained the 1.3B-parameter phi-1 code model using selected web data and synthetic textbook-style material, reporting strong Python coding benchmark results for its size and training budget.

Scientific scope

The paper evaluates a coding-focused model on specified benchmarks; it does not show that curated or synthetic data alone is sufficient for all language-model capabilities. Reported benchmark scores are author results, not independently replicated here.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Suriya Gunasekar; Yi Zhang; Jyoti Aneja; Caio César Teodoro Mendes; Allie Del Giorno; Sivakanth Gopi; Mojan Javaheripi; Piero Kauffmann; Gustavo de Rosa; Olli Saarikivi; Adil Salim; Shital Shah; Harkirat Singh Behl; Xin Wang; Sébastien Bubeck; Ronen Eldan; Adam Tauman Kalai; Yin Tat Lee; Yuanzhi Li

Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.

Original sources