![]() Each conversation turn must be provided in a single line that is formatted as Speaker + “: “ + text (I.e., Speaker and text are separated by a colon followed by a space). In the abstractive conversation summarization scenario, each conversation (whether it has a provided label or not) is expected to be provided in a plain. Custom summarization conversation sample format I believe the joint XYZ-code is a foundational component of this aspiration, if grounded with external knowledge sources in the downstream AI tasks. These five breakthroughs provided us with strong signals toward our more ambitious aspiration to produce a leap in AI capabilities, achieving multi-sensory and multilingual learning that is closer in line with how humans learn and understand. 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. ![]() The goal is to have pre-trained models that can jointly learn representations to support a broad range of downstream AI tasks, much in the way humans do today. ![]() We believe XYZ-code will enable us to fulfill our long-term vision: cross-domain transfer learning, spanning modalities and languages. At the intersection of all three, there’s magic-what we call XYZ-code as illustrated in Figure 1-a joint representation to create more powerful AI that can speak, hear, see, and understand humans better. In my role, I enjoy a unique perspective in viewing the relationship among three attributes of human cognition: monolingual text (X), audio or visual sensory signals, (Y) and multilingual (Z). As Chief Technology Officer of Azure AI Cognitive Services, I have been working with a team of amazing scientists and engineers to turn this quest into a reality. The following is an example document with three paragraphs.Īt Microsoft, we have been on a quest to advance AI beyond existing techniques, by taking a more holistic, human-centric approach to learning and understanding. If multiple lines are provided, each is assumed to be a paragraph of the document. In the abstractive document summarization scenario, each document (whether it has a provided label or not) is expected to be provided in a plain. Custom summarization document sample format Throughout this document, we refer to a summary of a document as a “label”. ![]()
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