ArXiv TLDR

Rewon Child

3 papers · Latest:

Natural Language Processing

PaLM: Scaling Language Modeling with Pathways

PaLM is a 540-billion parameter Transformer language model that achieves state-of-the-art few-shot learning performance across diverse benchmarks, demonstrating significant benefits from scaling.

2204.02311
Natural Language Processing

Language Models are Few-Shot Learners

GPT-3, a 175 billion parameter language model, demonstrates strong few-shot learning abilities across diverse NLP tasks without task-specific fine-tuning.

2005.14165
Machine Learning

Scaling Laws for Neural Language Models

This paper identifies power-law scaling relationships between language model performance and factors like model size, dataset size, and compute, enabling optimal training strategies under fixed compute budgets.

2001.08361

📬 Weekly AI Paper Digest

Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.