4 repositorios
Reusable structures with variables for standardizing LLM inputs.
Distinct from Template-Based Code Generators: Focuses on natural language prompt templates rather than source code generators.
Explore 4 awesome GitHub repositories matching development tools & productivity · Prompt Templates. Refine with filters or upvote what's useful.
This project is an AI-powered bilingual book generator that translates EPUB, TXT, and SRT files into side-by-side bilingual editions while preserving the original formatting and structure. It functions as a translation workflow manager, orchestrating the process from file input to bilingual output with support for customizable prompts and resumable pipelines. The tool distinguishes itself through its multi-model AI backend abstraction, allowing users to select from various AI models to balance translation cost and quality for book content. It includes a resumable translation pipeline that sav
Uses editable system and user role templates to control the AI model's translation style and behavior.
Spring AI is an application framework for Java that provides a portable, fluent API for integrating AI models, tools, and vector stores into applications. It wraps multiple AI providers behind a common interface, allowing developers to switch between chat, embedding, image, and speech models without changing application code. The framework includes a chainable chat client API similar to WebClient or RestClient, supports both synchronous and streaming interactions, and offers structured output conversion that transforms unstructured AI responses into strongly-typed Java objects. The framework
Builds user and system messages by substituting runtime variables into template strings at request time.
This project is a comprehensive guide and framework for designing, optimizing, and securing inputs to improve the accuracy and reasoning of large language model outputs. It provides core methodologies for implementing logical reasoning steps, example-based learning, and reusable template systems. The framework distinguishes itself through a focus on security guardrails and ethical auditing, implementing primitives to prevent adversarial prompt injection attacks and identify biases. It also emphasizes structured generation, using persona assignment and negative constraints to control the tone,
Uses reusable structures with variables and conditional logic to standardize prompts across different use cases.
Serves parameterized prompt templates that clients populate with user input.