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2 repositorios

Awesome GitHub RepositoriesPrompt Parsers

Utilities for interpreting and transforming user input for generative models.

Distinguishing note: Focuses on dynamic parsing of prompt modifiers.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Prompt Parsers. Refine with filters or upvote what's useful.

Awesome Prompt Parsers GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • lllyasviel/fooocusAvatar de lllyasviel

    lllyasviel/Fooocus

    50,260Ver en GitHub↗

    Fooocus is a generative image interface designed to simplify the creation of high-quality visual content from text descriptions. It functions as a latent diffusion pipeline and model orchestrator, managing the complex interactions between neural network layers, mathematical samplers, and hardware resource allocation to produce professional-grade imagery. The project distinguishes itself through a sophisticated prompt engineering engine and modular style management. Users can dynamically modify output characteristics by injecting style adapters directly into prompts or by utilizing wildcards a

    Interprets user-provided wildcards and weight modifiers at runtime to construct complex input vectors for generative models.

    Python
    Ver en GitHub↗50,260
  • nvidia/garakAvatar de NVIDIA

    NVIDIA/garak

    8,114Ver en GitHub↗

    Garak is an AI model evaluation tool and vulnerability scanner designed for red teaming large language models and auditing the security of retrieval-augmented generation pipelines. It identifies behavioral weaknesses, such as jailbreaks, hallucinations, and data leakage, by simulating adversarial attacks and executing automated testing vectors. The framework utilizes an adaptive probing loop where prompts can react to previous model behavior and be modified in flight via middleware. To ensure consistent analysis, it employs a provider-agnostic interface to interact with various model APIs and

    Transforms and paraphrases input prompts in flight using a pipeline of modifiers before model delivery.

    Pythonaillm-evaluationllm-security
    Ver en GitHub↗8,114
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