Full Cognitive Experience with Azure OpenAI Service - Tailoring production ready RAG solutions

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Are you interested in establishing a cloud-native environment for your business-tailored copilot? Or are you considering creating your custom GPT assistant in a fully controlled environment on top of your enterprise data? If so, and if you are entering this field, then we need to talk about it. This is a use-case-driven session fully focused on the practical utilization of Microsoft Azure OpenAI service and OpenAI GPT generation of models. After designing and developing a few pre-release & prod-release AI-powered plugins and applications, I will share my experience and best practices in building and publishing services for intelligent semantic search and enhanced behavioristic ability for contextual reasoning and learning. This innovative approach empowers rapid and fair cost prototyping and evaluation, relatively fast time to market, and easy benchmarking and adaptation. I will also carefully weigh this innovative approach's key pros and cons as we wrap up, providing valuable insights for further decision-makers. Join me in showcasing this very popular horizon in the industry.

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Speaker

Miodrag Cekikj

R&D Lead Technical Consultant @ ⋮IWConnect

I'm a tech-driven enthusiast, contributing my expertise to the R&D team @ IWConnect. With a background in software engineering, I've served as a technical lead and solution architect, specializing in, but not limited to Microsoft technologies. My PhD in bioengineering has broadened my perspective, allowing me to apply ML and AI across various industry domains. Currently, I'm intensively involved in the dynamic realm of Applied AI and cloud-native cognitive trends, including different LLMs & LMMs-driven applications within the burgeoning excitement surrounding Generative AI. As an enthusiastic and cutting-edge hyped person, I actively contribute to and support different tech communities and educational centers here and widely abroad. What I want is to be constantly challenged by innovation and drive progress in the tech landscape.

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