Beyond Bots – Naré Vardanyan, Ntropy

Today we are kicking off a special and new 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: Naré Vardanyan, CEO & Co-founder of Ntropy

Questions:

  • Tell me what a large language model is. Is there any difference between this and deep learning models?
  • What is the difference between language models and LLM’s?
  • What sort of data sets were your models pre-trained on? How long does that take?
  • How does the cost of training these models factor into your offering?
  • Can you talk about latency as a key factor in this process?
  • You’ve told me Ntropy has been doing this since the beginning, but give me a little more – how does this fit into Ntropy’s approach?
  • What is in the future for Ntropy in this space, specifically as it relates to LLM’s and financial services?

Links

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