Beyond Bots – Ilia Zintchenko, Ntropy

Today we are dropping another special episode of the Code Story podcast, as part of our series entailed Beyond Bots: the REAL impact of AI on financial services, brought to you by our friends at Ntropy. As a reminder, Ntropy is the most accurate financial data standardization and enrichment API. They can take in any data source, any geography, and understand / enrich a financial transition in milliseconds. Made for developers, for fast, easy implementation. Check out their product at Ntropy.com.

Guest: Ilia Zintchenko, CTO & Co-founder of Ntropy

Questions:

  • We talked with Nare about Ntropy and LLM’s. But let’s dig in more…. what is your LLM stack? How did you choose it, what were the considerations?
  • What are the system costs in doing this?
  • How do you optimize on reliability – what sort of lever are you pulling to ensure reliability?’
  • How are you thinking about predictive vs generative learning?
  • You guys have been using small and large LM’s since the beginning – why is this significant?
  • What data sources have you been using, and are there some that are better than others?’
  • Have you had to scrub these data sources in any way to prep them for your LM?
  • What is the major benefit that Ntropy is providing by using LLM?
  • What would you go back and change if you could?

Links

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Credits: Code Story is hosted and produced by Noah Labhart. Be sure to subscribe on Apple Podcasts, Spotify, Pocket Casts, Youtube, or the podcasting app of your choice.

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