We believe XYZ-code will enable us to fulfill our long-term vision: cross-domain transfer learning, spanning modalities and languages. The goal is to have pretrained models that can jointly learn representations to support a broad range of downstream AI tasks, much in the way humans do today.
Over the past five years, we have achieved human performance on benchmarks in conversational speech recognition, machine translation, conversational question answering, machine reading comprehension, and image captioning.
These five breakthroughs provided us with strong signals toward our more ambitious aspiration to produce a leap in AI capabilities, achieving multisensory and multilingual learning that is closer in line with how humans learn and understand. I believe the joint XYZ-code is a foundational component of this aspiration, if grounded with external knowledge sources in the downstream AI tasks. If the job succeeded, the output of the API will be returned. The output will be available for retrieval for 24 hours.
After this time, the output is purged. Due to multilingual and emoji support, the response may contain text offsets. See how to process offsets for more information. This section describes the limits for the size, and rates that you can send data to the Text Summarization API.
Note that pricing is not affected by the data limits or rate limits. Pricing is subject to your Language resource pricing details. If a document exceeds the limits, the API will reject the entire request and return a bad request error if any document within it exceeds the maximum size. Your rate limit will vary with your pricing tier.
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