Generative Computing: An Evening with IBM Research

Name: Generative Computing: An Evening with IBM Research
Start: 2026-09-24T16:30:00.000Z
End: 2026-09-24T19:30:00.000Z
Location: Trinity College Dublin Business School

Trinity College Dublin Business School, dublinThursday, Sep 24 · 12:30 PM

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Doors 12:30 PM

The Story

*Welcome to an evening with IBM Research where we discuss Generative Computing, Mellea, and the practice of writing programs that call models the way they call functions.* An event hosted by **IBM Research — PyData Ireland** is excited to be a community partner. This is the next **Open Source Science Dublin** meetup, where cutting-edge scientific research meets open-source technology, AI, and cloud-native infrastructure. Expect **technical deep dives**, **cross-disciplinary conversations**, and (of course) **pizzas** 🍕! For this event, we're exploring ***Generative Computing:*** *the practice of writing programs that call models the way they call functions, with the same expectations of structure, testability, and governance we apply to the rest of our software*. LLM calls today are too often ad-hoc prompts glued into application code — brittle, hard to test, and impossible to audit. Generative Computing reframes them as first-class program elements: typed, composable, verifiable, and governable. You'll see how this plays out in practice through Mellea, an open-source Python library for building predictable generative programs; FactReasoner, a real-world port that gained reliability and speedups by moving onto Mellea; and the Mellea Skills Compiler, which turns plain-language skill specs into governed, certified pipelines. **Talks** **Talk 1: TBD** **Talk 2: Generative Computing with Mellea: Programs That Call Models Like Functions** * **Speaker:** Rahul Nair, IBM Research * **Description:** An introduction to Mellea ([mellea.ai](https://mellea.ai/)) an open-source Python library for building predictable generative programs. We'll cover the core abstractions — instructions, requirements, sampling strategies, and verifiers — and show how treating model calls as structured, testable operations changes what you can build. Live coding, real examples, and a look at how Mellea composes with the rest of the Python ecosystem. **Talk 3: FactReasoner: Porting a Pr

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