Generative AI Technology Stack Overview - Generative AI Framework Overview
This podcast provides an overview of the technology stack required for building generative AI applications. It outlines six distinct layers – infrastructure, foundation models, retrieval layer, runtime/framework, monitoring and orchestration, and frontend hosting – and explores the role of each layer in the AI development process. The podcast then highlights popular frameworks used in generative AI development, such as LangChain, LlamaIndex, and Haystack, each serving a unique purpose. Finally, the podcast examines specific cloud implementations, including Google Cloud, AWS, and Azure, demonstrating how each platform facilitates the deployment and integration of these AI technologies.
We empower organizations to leverage the transformative power of Artificial Intelligence. Our AI consultancy services are designed to meet the unique needs of industries such as oil and gas, healthcare, education, and finance. We provide customized AI and Machine Learning podcast for your organization, training sessions, ongoing advisory services, and tailored AI solutions that drive innovation, efficiency, and growth.
Contact us here (or email us at [email protected]) to receive a personalized value proposition.
Exam-guide eBooks: AI-901, AWS AI Practitioner and more, with practice questions, on Google Play and Shopify. https://djamgamind.com/ebooks/?src=rss
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