Elijah ben Izzy
where else to find them
what they talk about
all 4 in the filters
where they keep going back
- PyData Global3 editions2022–2024
all 4 in the filters
on a stage with
who talks about the same things
- Stefan Krawczyk4 talks
- Lex Avstreikh4 talks
- Patrick Deziel4 talks
- Josh Wills8 talks
- Denny Lee10 talks
- Dean Wampler29 talks
| title | conference | date |
|---|---|---|
| Build Production Ready AI Agents with Burr | PyData Global 2024 | 2024-12-03 |
Burr is an open-source OS library that claims to make production AI agents reliable by treating apps as graphs of actions, conditions, and central state and by… | ||
| Bridging Classic ML Pipelines with the World of LLMs | PyData Global 2023 | 2023-12-06 |
Claims that standard MLOps patterns map directly onto LLM workflows and that a DAG-as-code approach is sufficient to unify them. Demonstrates the open source… | ||
| Scalable Feature Engineering with Hamilton | PyData Global 2022 | 2022-12-01 |
Hamilton is an open source Python framework that turns each feature into a function so a DAG of dependencies is inferred and the driver handles execution… | ||
| Scalable Feature Engineering with Hamilton | PyData NYC 2022 | 2022-11-09 |
An open source framework called Hamilton converts each feature into a single Python function, decouples execution via a driver, and adds runtime data… | ||
| Enabling simple ML ops at Stitch Fix | Data Con LA 2021 | 2021-09-17 |
Stitch Fix builds a configuration-driven ML platform that turns a serialized model plus metadata into deployable services and jobs, used by 145+ data… | ||
| Trusting Your Data Science Pipelines: A Quantitative Approach | Strange Loop 2018 | 2018-09-26 |
Two Sigma describes building a Quantitative Reliability Engineering team that finds concrete failures and fixes: a Java 7 to Java 7 to Java 8 upgrade induces… | ||
| nothing matches | ||