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A reading list on Transformers and training
Published on July 2, 2026, the list presents ten papers in a suggested order on Transformers, scaling, few-shot learning, RLHF, LoRA, FlashAttention, chain-of-thought, and DPO.
A July 2, 2026 publication presents a reading list of ten papers, arranged in a suggested order, covering language-model architecture and training concepts. The topics named are Transformers, scaling, few-shot learning, RLHF, LoRA, FlashAttention, chain-of-thought, and DPO. Its stated aim is to give engineers a structured path through these subjects.
The available description does not provide the paper titles or summarize their findings. To consult and verify the selection, locate the original publication and check its complete list, proposed order, and references; review the papers themselves to confirm methods and conclusions. If you use AI to study internal material on these topics, protect your organization’s data: Rota Nacional detects personal data and applies the organization’s configured policy before model execution. Usage metadata stays in the dashboard; raw prompts and completions stay only in the encrypted audit archive.
Original source: Uma lista de leitura sobre Transformers, scaling e fine-tuning