Anyone else witnessing a panic inside NLP orgs of big tech companies?

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  • WikiSQL

    A large annotated semantic parsing corpus for developing natural language interfaces.

  • Natural language processing/understanding/generation is solved (at least in English).

    LLMs produce perfectly fluent output and can understand natural language input as well as any human.

    However knowledge representation is not solved. We still don't know how to interface a perfect LLM to other systems in the same way a human does things like looking up facts we aren't confident of or using a calculator to do math we cant' do in our head.

    These are very significant problems and super important. But they are more adjacent to NLP in the same way tasks like something like Text-to-SQL [1] isn't a pure NLP task.

    [1] for example https://github.com/salesforce/WikiSQL

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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