Staff Developer Advocate, GitLab
TALK
The amount of tools, workflows, and knowledge required these days to build applications can be overwhelming and hard to keep up. In this talk, I will share how, by embracing fundamental aspects of DevOps, developers can build AI-powered applications and focus on the key experimentation areas.
This talk is suitable for DevOps engineers wanting to learn how to embrace MLOps practices, ML Engineers wanting to learn how to embrace DevOps and Developers asked to build products with AI embedded.
Learn from William
"With all of these things that we are seeing today about AI, LLMs and so on, it's important to try to keep things light. Think first that not every problem needs an LLM to throw it at it... if there is a smaller model that can do the job, go for it!
...Stick to the fundamentals of how to build solutions and how to do experimentation"
William has worked in different roles and positions for the last decade. Bringing work experience from Intel, Oracle, Broadcom, and the Czech University of Economics. He has participated in numerous projects involving software, hardware design, education, and innovation across different industries. He leverages his experience as an engineer and educator to create Proof of Concepts and actively share knowledge as a public speaker in open source and technology events worldwide
LinkedIn: https://www.linkedin.com/in/william-galindez-arias-87566542/
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