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We’ll be meeting at the Pendulum office in Smith Tower. This time sponsored by Zilliz, Iterative, and Pendulum.

PLEASE FILL OUT THIS FORM SO SMITH TOWER WILL LET YOU IN! https://forms.gle/3CaRZuquszz7MsNC8 (also provides opt-in/opt-out from receiving emails from the sponsors)

Zilliz is the company behind the world's most popular open source vector database, Milvus, with just over 23k stars and over 4M downloads. Milvus is built to scale with a separation of concerns and a distributed system architecture.

Iterative is the company behind DVC. DVC standardizes real-world machine learning workflows to lower the cost of building and running end-to-end workflows from months/weeks to days/hours. Manage your data, experiments, and models in one place, and connect it all with your code using best practices borrowed from software and adapted to meet the challenges of machine learning.

Pendulum's cutting-edge AI and ML make sense of vast data streams, monitoring close-range threats, such as violent or antisemitic posts about your brand or executives, and over-the-horizon risks, like boycotts, geopolitical shifts, ESG, or taxation, and uncovers how they are impacting your business.

What we’ll do:
We'll get a series of three talks about large language models in production.

5:30-6:00: Doors open for arrival
6:00-6:30: Implementing MLOps in AI-Driven Organizations - Diego Kiedanski from Tryolabs
6:35-7:05: ML and LLMs at Pendulum - Sam Clark from Pendulum
7:10-7:40: Retrieval Augmented Generation and Its Flavors - Yujian Tang
7:40-8:30: Networking

Who Should attend:
People who want to learn more about what people who are working with LLMs are experiencing, what problems they're running into, and what solutions they are using.

When:
Thursday, October 19th, 2023
5:30pm - 8:30pm.

Where is it:
Smith Tower

Speaker Bios

Diego:
Diego Kiedanski is a highly accomplished AI Solution Architect at Tryolabs, where he leverages his extensive expertise in computer engineering and artificial intelligence to create innovative solutions for clients. With a strong academic background that includes a degree in Computer Engineering from Uruguay, a Ph.D. in game theory from IP Paris, and postdoctoral research in distributed machine learning systems at Yale University, Diego, is well-equipped to tackle complex challenges. As a dedicated educator, he also shares his knowledge as a professor, teaching courses on AI and its applications in the business world. Diego's unique blend of technical acumen and passion for education makes him an invaluable asset to both his clients and students.

Yujian:
Yujian started off his software career interning at IBM after winning ACSL in 2012 and 2013. From there, he expanded into machine learning and big data research, publishing to IEEE Big Data as an undergrad. He then led and built two multi-million dollar generating projects for Amazon Retail's AutoML system. Following his stint at Amazon, Yujian has worked in startups, particularly focusing on the AI ecosystem. His educational software blogs, videos, and talks, have reached over a quarter million software developers.

Sam:
Sam Clark is Pendulum's co-founder and Head of Data Science. In this role, he is responsible for leading the organization's machine learning, NLP, and data science initiatives that enable Pendulum's core functions. Sam has a long history of tackling hard machine learning and NLP problems in industry and academia. While getting his masters at University of Washington, he developed novel methods for applying NLP to Twitter and has been published multiple times. Sam has extensive experience working at tech companies, including Apple, Google, and Ebay.

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