Porto events

Unleashing Open-Source Potential: LLMs and Real-Time Data Analytics @ Porto

Monday 17 June 2024

This event has finished.

Started 18:30 PM

Finished 20:30 PM

Organized by Data Science Portugal (DSPT)

Venue: Critical TechWorks

Address: Rua do Campo Alegre 17A

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About this event

Hello DSPT community we are back with another DSPT Meetup at Porto! This time at **[Critical Tech Work](https://www.criticaltechworks.com/)**’s office.

Join us for two cutting edge talks and the traditional networking session. The first talk is entitled **“LLMstudio: Powering Enterprise Grade LLM Applications With Open-Source”** and will be delivered by **[Cláudio Lemos](https://www.linkedin.com/in/~claudio/), Co-Founder of [TensorOps](https://www.linkedin.com/company/tensorops/), VP R&D.** To close it up we will have **[Tim Berglund](https://www.linkedin.com/in/tlberglund/), VP of DevRel @ [StarTree](https://www.linkedin.com/company/startreedata/)** showcasing the world of **“Real-Time Analytics With Apache Pinot”.**

Book your spot today and don’t forget to add the event to your calendar!

=== SCHEDULE ===

The preliminary agenda for the meetup is the following:

* 18:15 — 18:30: Get together;

* 18:30 — 18:40: Welcome message;

* 18:40 — 19:20: Talk + Q&A: **“LLMstudio: Powering Enterprise Grade LLM Applications With Open-Source”** by **Cláudio Lemos;**

* 19:20 — 20:00 Talk + Q&A: **“Real-Time Analytics With Apache Pinot”** by **Tim Berglund;**

* 20:00 — 20:30: Networking.

=== Talks Abstracts ===

* **LLMstudio: Powering Enterprise Grade LLM Applications With Open-Source**


* **Real-Time Analytics With Apache Pinot**

Analytics is arguably the oldest task of digital computers, and has remained an important part of business computing during its 80-year history. What could possibly be new in this space? A better way to serialize data? A better way to run distributed queries over a data lake? An exciting new integration technology? We need all these things urgently, but to be ready for the future, we something even more: we need analytics that can deliver results to users in real time, in the interaction layer, not to internal decision makers seconds or minutes later. We need what Apache Pinot delivers.

Pinot is a database optimized to serve analytical queries at extremely high levels of concurrency, at latencies measured in the tens of milliseconds, on data ingested from the streaming pipeline that underlies more and more of the systems we’re building. It’s an OLAP database, but one engineered from the ground up to power user-facing features, not executive-facing dashboards. In this talk, we’ll look at how it’s built, how to get data into it, how to query it, and the typical role it plays in a next-generation system exposing analytics-powered features to its users.

=== About the speakers ===

* **[Cláudio Lemos](https://www.linkedin.com/in/~claudio/), Co-Founder of [TensorOps](https://www.linkedin.com/company/tensorops/), VP R&D.**

Cláudio is a FEUP alumni. Two years ago, he co-founded TensorOps, helping clients accelerate their AI adoption. Currently, he is leading the development of LLMstudio, an open-source LLM gateway that helps users add observability to their LLM pipeline, while accessing multiple LLM vendors and optimizing costs.

* **[Tim Berglund](https://www.linkedin.com/in/tlberglund/), VP of DevRel @ [StarTree](https://www.linkedin.com/company/startreedata/)**

Tim is a teacher, author, and technology leader with StarTree, where he serves as the VP of Developer Relations. He is a regular speaker at conferences and a presence on YouTube explaining complex technology topics in an accessible way. He tweets as @tlberglund, blogs every few years at http://timberglund.com, and lives in Littleton, CO, USA. He has three grown children and two grandchildren, with a third on the way.


This page last updated Sunday 16 June 2024 at 12:58.

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