Textbooks is all you need: new LLM 51% HumanEval. Better one >10x more params

"Textbooks" is clickbait-ish. It seems they are borrowing a term by Andrej Karpathy:

>Mar 30, 2022 Seems likely we’ll have custom (and partially auto-generated) “textbooks” but for teaching language models, not humans, to help them “grok” concepts. <

Paper: https://arxiv.org/abs/2306.11644

>Textbooks Are All You Need

>We introduce phi-1, a new large language model for code, with significantly smaller size than competing models: phi-1 is a Transformer-based model with 1.3B parameters, trained for 4 days on 8 A100s, using a selection of ``textbook quality" data from the web (6B tokens) and synthetically generated textbooks and exercises with GPT-3.5 (1B tokens). Despite this small scale, phi-1 attains pass@1 accuracy 50.6% on HumanEval and 55.5% on MBPP. It also displays surprising emergent properties compared to phi-1-base, our model before our finetuning stage on a dataset of coding exercises, and phi-1-small, a smaller model with 350M parameters trained with the same pipeline as phi-1 that still achieves 45% on HumanEval.@Microsoft Research