We’re vetting AI app development teams for a new B2B tool that integrates ML into workflow automation. Every firm claims they’re full stack AI-native, but I want to understand what a modern, scalable stack should actually include in 2025. Should they be working with: 1. PyTorch vs TensorFlow? 2. LangChain-style orchestration? 3. Vector databases? 4. Kubernetes for deployment? What’s table stakes now vs marketing fluff? submitted by /u/Free_Muffin8130
Originally posted by u/Free_Muffin8130 on r/ArtificialInteligence
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