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🤖OpenAI
February 14, 2019
Research

Better language models and their implications

Overview

OpenAI announced a large-scale unsupervised language model that generates coherent paragraphs of text. The system achieves state-of-the-art results across several language modeling benchmarks. It also carries out rudimentary translation, summarization, question answering, and reading comprehension without task-specific training.

Key Takeaways

  • OpenAI published details on a large-scale unsupervised language model that generates coherent paragraphs of text.

    The organization reported that the model achieved top benchmark scores across multiple language evaluation tests.

  • This work highlights progress in developing highly general language generation systems.

    Without receiving any task-specific training, the model performs rudimentary reading comprehension, machine translation, question answering, and summarization.

  • For practitioners analyzing language models, this demonstrates that unsupervised training alone can yield broad functionality across several distinct natural language processing tasks.

    OpenAI built a large-scale unsupervised language model capable of generating coherent text paragraphs.

  • The model reaches state-of-the-art benchmark results across numerous language modeling tests.

    It carries out basic reading comprehension, translation, question answering, and summarization.

  • All of these functions are accomplished without relying on task-specific training.

OpenAI published details on a large-scale unsupervised language model that generates coherent paragraphs of text. The organization reported that the model achieved top benchmark scores across multiple language evaluation tests. This work highlights progress in developing highly general language generation systems.

Without receiving any task-specific training, the model performs rudimentary reading comprehension, machine translation, question answering, and summarization. For practitioners analyzing language models, this demonstrates that unsupervised training alone can yield broad functionality across several distinct natural language processing tasks. OpenAI built a large-scale unsupervised language model capable of generating coherent text paragraphs.

The model reaches state-of-the-art benchmark results across numerous language modeling tests. It carries out basic reading comprehension, translation, question answering, and summarization. All of these functions are accomplished without relying on task-specific training.

For more details please read the original article at OpenAI.

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Originally published by OpenAI
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