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Explore practical lessons learned from building with Large Language Models (LLMs) in this 39-minute conference talk from DockerCon 2023. Gain insights from Dan Mason, Stride's AI/LLM Practice Lead, as he shares hands-on experience and addresses the challenges of LLM adoption in enterprise environments. Learn how to create a safe and secure environment for experimentation, incentivize teams to leverage LLMs in their workflows, and discover technical tips and tricks for maximizing popular LLM toolchains. Benefit from real-world examples and strategies to overcome the learning curve associated with LLM technologies, including Docker-specific implementations. Acquire valuable knowledge to harness the power of LLMs and drive innovation within your organization.
Syllabus
How to Build with LLMs — Practical Lessons Learned (DockerCon 2023)
Taught by
Docker