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Title & Speakers	Event
NYC Airflow AI Meetup w/ Astronomer, Ramp, and Cohere 2023-11-15 · 23:00 📣📣 Attention Airflow Users and Big Data Professionals 📣📣 Come join us at Ramp's offices for a special meetup on the power of AI + Airflow! *PLEASE NOTE, VERY IMPORTANT* To attend this meetup, please register here. Registration for this meetup will not be open on this page. AGENDA 6:00 PM-6:30: Eat, Drink and Network! 6:30 PM-8:00 PM: Presentations! 8:00 PM- 8:30 PM: Eat more, drink more, and network! SPEAKERS Julian LaNeve, CTO at Astronomer From Prototype to Production: Solving Data Engineering Challenges with Airflow in Ask Astro Prototyping an LLM application is easy, but taking it to production is a lot more challenging. You'll face many typical data engineering challenges, which is exactly what Airflow was designed to solve! Join Astronomer as they talk about Ask Astro, an open-source question-answering LLM application across a variety of document sources. You'll learn how to create a retrieval augmented generation (RAG) application, including data ingestion and storage, prompt orchestration, and feedback loops. Josiah Parappally, Software Engineer at Ramp Maximizing Customer Experience with LLM: Innovations in Support Ticket Onboarding Josiah Parappally will present challenges faced by new customer experience agents during onboarding, driven by the complexity of support tickets. He'll discuss strategies like using summaries, macros, and Airflow as an LLM tool, along with OpenSearch for categorization. The talk aims to enhance agent onboarding by streamlining support ticket resolution through innovative tools and techniques. Sam Braun, Member of the Technical Staff at Cohere Co:lineage: Tracking Metadata and Lineage across LLM Training Datasets LLMs use datasets from a wide variety of sources in their training runs. How can we keep track of the metadata, lineage, and lifecycle information associated with these datasets? Sam will walk through co:lineage, a library built at Cohere to answer these questions. He'll discuss why we use both an event-driven architecture and Airflow for computing and collecting this metadata, and how we use Airflow jobs to monitor the integrity of our metadata store.	NYC Airflow AI Meetup w/ Astronomer, Ramp, and Cohere

📣📣 Attention Airflow Users and Big Data Professionals 📣📣

Come join us at Ramp's offices for a special meetup on the power of AI + Airflow!

***PLEASE NOTE, VERY IMPORTANT*** To attend this meetup, please register here. Registration for this meetup will not be open on this page.

AGENDA

6:00 PM-6:30: Eat, Drink and Network!
6:30 PM-8:00 PM: Presentations!
8:00 PM- 8:30 PM: Eat more, drink more, and network!

SPEAKERS Julian LaNeve, CTO at Astronomer From Prototype to Production: Solving Data Engineering Challenges with Airflow in Ask Astro

Prototyping an LLM application is easy, but taking it to production is a lot more challenging. You'll face many typical data engineering challenges, which is exactly what Airflow was designed to solve! Join Astronomer as they talk about Ask Astro, an open-source question-answering LLM application across a variety of document sources. You'll learn how to create a retrieval augmented generation (RAG) application, including data ingestion and storage, prompt orchestration, and feedback loops.

Josiah Parappally, Software Engineer at Ramp Maximizing Customer Experience with LLM: Innovations in Support Ticket Onboarding

Josiah Parappally will present challenges faced by new customer experience agents during onboarding, driven by the complexity of support tickets. He'll discuss strategies like using summaries, macros, and Airflow as an LLM tool, along with OpenSearch for categorization. The talk aims to enhance agent onboarding by streamlining support ticket resolution through innovative tools and techniques.

Sam Braun, Member of the Technical Staff at Cohere Co:lineage: Tracking Metadata and Lineage across LLM Training Datasets

LLMs use datasets from a wide variety of sources in their training runs. How can we keep track of the metadata, lineage, and lifecycle information associated with these datasets? Sam will walk through co:lineage, a library built at Cohere to answer these questions. He'll discuss why we use both an event-driven architecture and Airflow for computing and collecting this metadata, and how we use Airflow jobs to monitor the integrity of our metadata store.

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