Fine Tuning LLMs and Optimizing Generative AI Architectures

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Are you interested in mastering the art of fine-tuning LLMs and optimizing Generative AI Architectures? In this insightful discussion, Mike Gibbs, founder of Go Cloud Architects, and AI expert David Linthicum delve into the complexities of AI model building, focusing on how to create and fine-tune models that drive success in generative AI systems.

In this video, you'll learn about:
• The essentials of AI architecture and how it applies to generative AI systems.
• Key considerations in model selection in AI and how to fine-tune LLMs for optimal performance.
• The role of AI architects in building and refining models to meet specific business needs.
• The importance of understanding AI LLMs, their construction, and ongoing maintenance.
• How to avoid common pitfalls in AI model tuning to ensure accuracy and ethical considerations.

Whether you're an aspiring AI architect or an experienced professional, this discussion will provide you with valuable insights into building and maintaining effective generative AI architectures.

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00:00 - Intro
1:08 - What AI Modeling or AI Model Building Is
3:49 - What Should Architects consider about AI Modeling
10:31 - What Architects Actually Do
16:28 - Engineering vs Architecture in AI

#genai #genaiarchitect #aiarchitecture

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GoCloudArchitects

Thank you, David and Mike, for this great high-level overview of how AI systems are developed and fine-tuned. It makes a lot of sense to ensure that the proper dataset is used to build a good AI model, and that the AI model is also maintained and improved to minimize bias and to maintain the relevancy of the information it outputs. This video definitely provided very valuable information.

ParvizEshonov

Just watched the video, what an incredible deep dive into fine-tuning LLMs and optimizing generative AI architectures!

Mike Gibbs and David Linthicum broke down complex concepts in a way that is easy to understand, making it a must watch for anyone serious about AI architecture.

The practical tips on avoiding common pitfalls and ensuring ethical AI are especially valuable.

chautmpham

Fantastic insights on fine-tuning LLMs in a digestible format! Definitely worth the time watching and understanding the viewpoint of an Architect that is looking to optimize systems such as GenAI.

gcc-markmilo

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