62. Marius-Constantin Dinu - extensity.ai - Building reliable and explainable AI Agent Systems

About this episode

The episode features Marius Dinu discussing the open core model of extensity.ai and their Neuro-Symbolic AI Framework for building reliable AI systems.

As you surely know, OpenAI is not very open about how their systems works or how they build them. More importantly for most uses and business, OpenAI is agnostic about how users apply their services and how to make most out of the models multi-step "reasoning" capabilities . As a stark contrast to OpenAI, today I am talking to Marius Dinu, the CEO and co-founder of the austrian startup extensity.ai. Extensity.ai as a company follows an open core model, building an open source framework which is the foundation for AI Agent systems that perform multi-step reasoning and problem solving, while generating revenue by providing enterprise support and custom implementation's. Marius will explain how their Neuro-Symbolic AI Framework is combining the strengths of symbolic reasoning, like problem decomposition, explainability, correctness and efficiency with an LLM's understanding of natural language and their capability to operate on unstructured text following instructions. We will discuss how their framework can be used to build complex multi-step reasoning workflows and how the framework works like an orchestrator and reasoning engine that applies LLM's as semantic parsers that at…

People in this episode

Host: Manuel Pasieka

Guest: Marius-Constantin Dinu

Topics covered

• AI Agent Systems
• Open Source
• Multi-step Reasoning
• Explainable AI
• Problem Solving

Keywords

• AI
• extensity.ai
• OpenAI
• Neuro-Symbolic AI
• multi-step reasoning
• explainable AI
• problem solving

Mentioned in this episode

Organizations: extensity.ai, OpenAI, Neuro-Symbolic AI Framework

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