It presents agents with error-prone Python programs and grants access to debugging tools via a controlled interface. Core components of the system include: The architecture supports deterministic ...

modular prompts. The guide recommends using prompt templates with parameterized variables for scalability and maintainability. With this guide, OpenAI formalizes a design pattern for constructing ...

The framework's modular design allows for easy customization and extension ... This allows developers to run pre-trained models from Python TensorFlow directly in JavaScript applications, making it an ...

Retrieval augmented generation (RAG) can help reduce LLM hallucination. Learn how applying high-quality metadata and ...

To build modular and maintainable applications ... Dependency injection (DI) is a software design pattern used to avoid hard-coding dependencies in an application. For example, say you have ...

DSPy (short for Declarative Self-improving Python) is an open-source Python ... points by making LLM applications more declarative, modular, and self-improving. By decoupling application logic ...