Session: 2 for 1: The Developers’ Framework for Content Creation / LangChain on Kubernetes: Multi-LLM Deployment Made Easy & Efficient
Gabriel L. Manor: The Developers’ Framework for Content Creation
Content creation is an appealing task for developers, whether it’s a blog, video, tutorial, or talk. Developers genuinely enjoy producing content. However, there are common challenges that often arise, such as: “What should I create?” and “When do you have time for it?”
Fortunately, the answer is not as complex as it may seem.
In this talk, I will share a clear and accessible framework designed for developers who aspire to embark on their content creation journey. I won’t just provide theoretical words; I’ll also share from my personal journey into content creation and developer marketing roles.
Ezequiel Lanza: LangChain on Kubernetes: Multi-LLM Deployment Made Easy & Efficient
Deploying large language model (LLM) architectures with billions of parameters can pose significant challenges. Creating gen AI interfaces is difficult enough on its own but add to that the complexity of managing a complex architecture while juggling computational requirements and ensuring efficient resource utilization, and you’ve got a potential recipe for disaster when transitioning your training models to a real-world scenario. LangChain, an open source framework for developing applications powered by LLMs, aims to simplify creating these interfaces by streamlining the use of several NLP components into easily deployable chains. At the same time, Kubernetes can help manage the underlying infrastructure.
This talk walks you through how to smoothly and efficiently transition your trained models to working applications by deploying an end-to-end LLM containerized LangChain application (Foundation models+Optimized+RAG) in a cloud-native environment. You’ll learn how quickly and easily it is achieved.
