Entries by tag: language-models

Including child/synonym tags

Paper Summary: Llama 2: Open Foundation and Fine-Tuned Chat Models  01 Aug 2023    paper-summary instruction-following language-modeling

Summary of the 2023 article "Llama 2: Open Foundation and Fine-Tuned Chat Models" by Touvron et al. Read More ›

Paper Summary: Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling  18 Jun 2023    paper-summary language-models

Summary of the 2023 article "Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling" by Biderman et al. Read More ›

Paper Summary: LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention  04 Jun 2023    paper-summary language-modeling instruction-following

Summary of the 2023 article "LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention" by Zhang et al. Read More ›

Paper Summary: LLaMA: Open and Efficient Foundation Language Models  04 Jun 2023    paper-summary llms

Summary of the 2023 article "LLaMA: Open and Efficient Foundation Language Models" by Touvron et al. Read More ›

Paper Summary: Self-instruct: Aligning Language Models with Self-generated Instructions  03 Jun 2023    paper-summary language-modeling alignment

Summary of the 2022 article "Self-instruct: Aligning Language Models with Self-generated Instructions" by Wang et al. Read More ›

Paper Summary: Training language models to follow instructions with human feedback  05 Feb 2023    paper-summary language-models alignment

Summary of the 2022 article "Training language models to follow instructions with human feedback" by Ouyang et al. AKA the InstructGPT article Read More ›

Paper Summary: Language Models are Few-Shot Learners  01 Jan 2023    paper-summary language-models

Summary of the 2020 article "Language Models are Few-Shot Learners" by Brown et al. AKA the GPT-3 Paper. Read More ›

Paper Summary: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding  01 Jan 2023    paper-summary language-models

Summary of the 2018 article "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" by Devlin et al. Read More ›

Paper Summary: Language Models are Unsupervised Multitask Learners  31 Aug 2019    paper-summary language-models

Summary of the 2019 article "Language Models are Unsupervised Multitask Learners" by Radford et al. AKA the GPT-2 Article. Read More ›