How Gemini and LangChain can supercharge your time series data

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  • Опубліковано 19 жов 2024

КОМЕНТАРІ • 6

  • @googlecloudtech
    @googlecloudtech  3 місяці тому +6

    🙋 Which services are you using for your latency-sensitive application?
    Are you using AI for analysis and querying? Let us know below!

  • @bijukrishnan7792
    @bijukrishnan7792 3 місяці тому +2

    I was hoping to hear how Gemini can help with anomaly detection but I guess the academic papers are right, LLMs and even those adapted for Time Series are not really accurate.

  • @GabrielMadichie
    @GabrielMadichie 2 місяці тому

    This is the future

  • @MarkyGoldstein
    @MarkyGoldstein 2 місяці тому

    I wonder why it still takes one or more days to pay invoices in Switzerland (where we have 5000+ Google engineers)

  • @folatech4404
    @folatech4404 3 місяці тому

    interesting can i test this out in codelab

  • @TheTAKOGIN
    @TheTAKOGIN 3 місяці тому +1

    Gemini is poor at understanding time-series data. Even when I input a CSV file, I've never gotten a decent answer...
    The ability to use a large number of tokens is a disadvantage if the comprehension ability is poor. It's useless if it doesn't work. Improvement is needed!