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How to Build with LLMs #Docker #llm #ml
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Dan Mason, Stride's AI/LLM Practice Lead, shares Stride's hands-on experience building with LLMs. The tools and resources available to LLM enthusiasts are truly incredible, but we've seen a lack of adoption and engagement from enterprise technologists, both because the learning curve can be intimidating and because there's a lack of good guidance on how to take the first steps. Stride believes that to harness the power of LLMs, organizations need to create a safe and secure environment for experimentation, and then incentivize teams to find ways to leverage LLMs in their own workflows. Dan shares practical lessons learned from recent engagements, as well as technical tips and tricks (one or two involving Docker!) for getting the most out of popular LLM toolchains.
Presentation: How to Build with LLMs — Practical Lessons Learned
Speaker: Dan Mason, Principal, Stride Consulting
Resources:
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ABOUT DOCKER: Docker provides a suite of development tools, services, trusted content, and automations, used individually or together, to accelerate the delivery of secure applications.
#docker #llm #machinelearning #shorts
Presentation: How to Build with LLMs — Practical Lessons Learned
Speaker: Dan Mason, Principal, Stride Consulting
Resources:
Join the conversation!
ABOUT DOCKER: Docker provides a suite of development tools, services, trusted content, and automations, used individually or together, to accelerate the delivery of secure applications.
#docker #llm #machinelearning #shorts
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