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.
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AI Unraveled: Latest AI News, ChatGPT, Gemini, Claude, DeepSeek, Gen AI, LLMs, Agents, Ethics, Bias