Improve your cybersecurity with Elektra AI

📅 Published on July 20, 2024

We are very proud to share with you the top-secret architecture of our latest model. Here is Elektra’s CV, which should give you a preview of the architectures create and that we produce. Yes, you read that correctly, it’s the first CV of an AI!

I. Elektra in action

  • Automated deployment,
  • Automated environment installation,
  • Advanced monitoring,
  • Cybersecurity,
  • Debugging.

II. Our positioning

Elektra is one of our models featuring a hybrid architecture that combines multiple LLMs, an agent, and a Domain-Driven Design architecture (optimized microservices ++ for tech enthusiasts). We have mastered dynamic prompting[1], both in software (backend) and model inference. This expertise allows us to offer high-performance models tailored to the specific needs of our clients:

  • Less GPU-intensive,
  • Much more accurate in business predictions,
  • More energy-efficient (CSR friendly),
  • Less costly in GPU usage during training and production.

III. Elektra’s architecture

Elektra is microservices-oriented with a central core (here, an agent) that links the prediction of an LLM to a concrete action. This core manages and coordinates these microservices, thereby enabling the automation of numerous tasks.

And there it is, the first resume of an AI, Elektra! Who knows, maybe one day AIs will go through job interviews too!
And what if Aurélia were applying for Elektra? Oh, that’s getting weird.

Stay tuned for more exciting updates!

[1] Here, “dynamic prompting” refers to the language model prediction that includes variables from a backend. There is not yet a consensus on the terminology for this concept.

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