ruvnet / guardrail

GuardRail: Advanced tool for data analysis and AI content generation using OpenAI GPT models. Features sentiment analysis, content classification, trend analysis, and tailored GPT model usage. Ideal for content moderation, customer support, and market research.

Hi. I'm @rUv

Why I started this GitHub Repository.

In the rapidly-evolving landscape of artificial intelligence, we are continually discovering innovative ways to leverage technology's potential. One of the most fascinating aspects of AI models, such as the GPT-4, is the phenomenon known as hallucinations. These are instances where the AI generates previously unimagined ideas and concepts – a testament to its ability to invent, rather than simply process and analyze.

The key to harnessing the power of AI-generated hallucinations lies in the symbiotic relationship between human creativity and machine intelligence. By carefully curating the input provided to the AI, we can act as the conductor of ideas, guiding the AI towards producing valuable and actionable insights. In turn, the GPT model can refine and organize these concepts into coherent structures that can be further developed and executed upon.

The intersection between reality and AI-generated illusions presents a fertile ground for exploration and innovation. By delving into this gray area, we can uncover groundbreaking concepts, projects, and techniques that challenge our understanding of the possible. These AI-driven innovations have the potential to revolutionize industries, from healthcare and biotechnology to space exploration and clean energy.

Collaboration between humans and AI in this unique space can lead to serendipitous discoveries, pushing the boundaries of our collective imagination. As we continue to experiment with AI-generated hallucinations, we must remain open to the unexpected and be prepared to embrace the unconventional. By doing so, we are not only fostering a spirit of creativity and ingenuity but also paving the way for transformative advancements in an increasingly AI-driven world.

The potential of AI-generated hallucinations is vast and largely untapped. By embracing this new frontier and fostering collaboration between human creativity and machine intelligence, we can unlock a world of possibilities, shaping the future of innovation and redefining the boundaries of what we once thought possible.

My projects represent this space, a space of infinite possibilities only one step removed from reality.

They Include:

Project/Description	GitHub
rUv MoE Toolkit - Powering software with self-learning & auto-enhancement. Supercharging older models, drastically boosting Ai performance and significantly reducing costs.	Link
Bot Generator Bot The ultimate bot generator bot prompt. Use this prompt to create powerful ChatGPT bots for anything you can imagine. Includes a collection of dozens of purpose-built bots.	Link
GPT Repository — A definitive catalog of tailored GPT models crafted by rUv, offering a variety of specialized GPTs for various applications. It's a hub for enthusiasts and creators to replicate or extend these models' functionalities. Includes comprehensive instructions for each GPT and OpenAPI.json files for third-party API interfacing.	Link
GuardRail Data Analysis System — An API-driven framework designed to enhance AI systems and analysis workflows. Integrates with OpenAI's GPT models for advanced data analysis and dynamic conditional completions. Features include sentiment analysis, content classification, and trend detection. Essential for content moderation, customer support, market research, and more.	Link
LLM Total Cost of Ownership (TCO) Calculator LM TCO Calculator, a dynamic tool designed to help users estimate the total cost of ownership for various Large Language Models (LLMs)	Link
PromptLang() A Prompt based programming language for prompts and AI interactions. Simple and human-readable syntax for easy integration with APIs and data.	Link
Story Development Toolkit This toolkit, comprising several Python libraries and custom functionalities, is designed to empower writers, creators, and enthusiasts in generating engaging and coherent stories with ease.	Link
Prompt Engine is a powerful and flexible template designed to facilitate the creation and customization of interactive prompts.	Link

Conceptual Experiments

• PARIS (Perpetual Adaptive Regenerative Intelligence System): A model for building and managing AI and Language Model systems, emphasizing perpetual feedback loops.
• ARCADIA (Advanced and Responsive Computational Architecture for Dynamic Interactive Ai): An AI-powered game engine for dynamic, personalized experiences in evolving worlds. Ethical, accessible, inclusive.
• VIVIAN (Vector Index Virtual Infrastructure for Autonomous Networks): A framework for creating robust virtual infrastructures for autonomous networks.
• Decentralized Autonomous Applications (DAAs): Pioneering the future with self-managing applications that revolutionize user interaction and control.

ChatGPT Plug-ins:

• Building a ChatGPT Plugin: AI Web Surfer
  ChatGPT plugins are a powerful way to extend the capabilities of the ChatGPT.This how to build a ChatGPT plugin called "AI Surfer" that allows ChatGPT to surf the internet, summarize articles, and limit token counts using concurrent API connections. We'll also discuss how to deploy the plugin to Replit for free or to other cloud services. https://github.com/ruvnet/Surfer

• ChatGPT OpenAi API Plugin:
  A powerful ChatGPT plugin that integrates with the OpenAI API, enabling creative text generation, conversational AI, model fine-tuning, and more. Enhance ChatGPT's capabilities with seamless access to OpenAI's language models. https://github.com/ruvnet/chatgpt-openai-api-plugin

• ChatGPT Hugging Face Plugin:
  The Hugging Face API plugin for ChatGPT is a powerful integration that allows ChatGPT to interact with the Hugging Face platform, a leading provider of natural language processing (NLP) models, datasets, and tools. https://github.com/ruvnet/Surfer/tree/chatgpt-huggingface-plugin

guardrail's Issues

QUESTION: Where are issues tracked?

I found nothing in the README indicating where issues are tracked. If I overlooked something, my apologies.