generative_ai_project and generative-ai-prompt-engineering
These are complementary tools: one provides a production-ready project scaffold for building generative AI applications, while the other offers sample code and demos focused specifically on prompt engineering techniques to use within those applications.
About generative_ai_project
HeyNina101/generative_ai_project
A production-ready template to kickstart your Generative AI projects with structure and scalability in mind.
Implements modular subsystems for agents, memory management, multimodal processing (vision/audio), and LLM routing across OpenAI/Anthropic with built-in fallback logic. YAML-based configuration separates model and prompt definitions from code, while dedicated modules handle retrieval, guardrails (PII filtering, validation), caching, rate limiting, and error recovery. Structured for rapid prototyping through notebooks while supporting production deployment via Docker and comprehensive test suites.
About generative-ai-prompt-engineering
build-on-aws/generative-ai-prompt-engineering
Sample code that helps us explore the world of generative AI through prompt engineering. It provides the resources for experimenting with this emerging skill through demos and sample applications such as simple chatbots.
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