Beyond Theory: Effective Strategies for Bringing Generative AI into Production

Abstract: 

In the rapidly evolving and constantly advancing landscape of artificial intelligence, foundation models like GPT-4 and DALL-E 3 and the broader world of generative AI have emerged as potential game-changers, offering unprecedented and previously unimagined capabilities across a wide variety of domains and use cases. However, while these theoretical models showcase promising capabilities, the practical challenge of transitioning from conceptual research to full-scale production-level applications remains a major obstacle that many organizations and teams continue to face. This keynote presentation aims to help bridge this gap by taking a deep dive into exploring pragmatic and actionable strategies and best practices for successfully integrating these cutting-edge AI technologies into real-world business environments.

We will closely examine the critical concepts surrounding Foundation Model Operations and Large Language Model Operations (FMOps/LLMOps), delving into the practical intricacies and challenges involved in deploying, monitoring, maintaining and scaling generative AI models in enterprise production systems. The discussion will comprehensively cover several critical topics such as optimal model selection, rigorous testing and evaluation, efficient training and fine-tuning techniques, retrieval augmented generation (RAG) architectures, and effective deployment strategies required for operationalization.

Attendees will gain crucial and applicable insights into overcoming common obstacles frequently faced when attempting to deploy AI in live systems, including recommendations around managing resource-intensive models, ensuring ongoing model fairness and transparency, and strategically adapting to the continuously fast evolving AI landscape. To provide full perspective, the talk will also highlight relevant real-world examples and case studies, providing a comprehensive end-to-end view of the demanding practical requirements for true AI deployment.

This presentation has been tailored for a wide audience encompassing AI and machine learning professionals, technology leaders, IT and DevOps teams, and anyone generally interested in better understanding the operational side of taking AI technology live. Whether you're looking to implement generative AI capabilities in your own organisation or working to enhance existing AI operations, this discussion will equip you with directly actionable knowledge and tools to successfully meet the challenges in navigating the world of FMOps/LLMOps.

Bio: 

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Open Data Science

 

 

 

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