DataHour: Rust and Python in the age of LLMOps

DataHour: Rust and Python in the age of LLMOps

04 Apr 202411:04am - 04 Apr 202412:04pm

DataHour: Rust and Python in the age of LLMOps

About the Event

In this webinar, the speaker explores the integration of the Rust programming language into Machine Learning Operations (MLOps) and the continued use of Python for data science. The speaker discusses the limitations of Python for ML engineering at scale and highlights the benefits Rust offers in terms of performance, safe concurrency, security, and suitable libraries for MLOps, Large Language Model Operations (LLMOps), and data engineering.

The presentation also touches on the importance of MLOps, the challenges in adopting Rust, the role of generative AI, and the need for ethical considerations when comparing AI offerings. Additionally, it emphasizes Python's success and widespread use in data science while contemplating the potential shift towards increased integration of Rust tools. The webinar concludes by showcasing key Rust libraries for LLMOps, MLOps, and data engineering, as well as providing related resources for further exploration.

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Who is this DataHour for?

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About the Speaker

Noah Gift

Noah Gift

Founder at Pragmatic AI Labs

Noah Gift, founder of Pragmatic A.I. Labs, is a prominent figure in the AI and machine learning space. With extensive experience as a lecturer and consultant at renowned institutions like Northwestern and UC Berkeley, he specializes in machine learning, MLOps, and cloud architecture. As a Python Software Foundation Fellow and AWS Machine Learning Hero, he holds various industry certifications and has authored over 100 technical publications, including books on cloud machine learning and DevOps. Gift's expertise spans across roles in companies such as Disney and AT&T, where he's contributed to shipping numerous successful products. Currently, he provides consultancy services to startups, focusing on machine learning and cloud architecture.

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