Best AI tools for< Optimize Prompts >

Prompt Hackers is an AI tool designed to provide users with the best ChatGPT prompts on the internet. Users can download the Chrome Extension to access Prompt Hackers directly in ChatGPT. The platform offers a diverse array of prompts tailored to various needs, including writing, marketing, education, coding, and more. With Prompt Hackers, users can generate captivating and imaginative prompts to enhance their creativity and engage in meaningful discussions.

Repromptify is an AI tool that simplifies the process of creating AI prompts. It allows users to generate end-to-end optimized prompts for various AI models such as GPT-4, LLMs, DALLE•2, and Midjourney ChatGPT. With Repromptify, users can easily test and generate images and responses tailored to their needs without worrying about ambiguity or details. The tool offers a free trial for users to explore its features upon signing up.

Hamming is an AI tool designed to help automate voice agent testing and optimization. It offers features such as prompt optimization, automated voice testing, monitoring, and more. The platform allows users to test AI voice agents against simulated users, create optimized prompts, actively monitor AI app usage, and simulate customer calls to identify system gaps. Hamming is trusted by AI-forward enterprises and is built for inbound and outbound agents, including AI appointment scheduling, AI drive-through, AI customer support, AI phone follow-ups, AI personal assistant, and AI coaching and tutoring.

NeoPrompts is an AI-powered prompt optimization tool designed to help businesses enhance their efficiency by providing tailored prompts for various industries. With a vast library of 25,000 optimized prompts, NeoPrompts ensures clear and precise instructions to achieve accurate results in AI applications. The tool reduces ambiguity, enhances clarity, and offers prompt customization for image and video generation. NeoPrompts aims to be the best copilot for ChatGPT users, offering prompt refinement and boosting productivity by up to 35%. Users can access free trials and advanced features to optimize prompts, chat with ChatGPT-4o, and enroll in courses for enhanced AI capabilities.

Prompt Engineering is a discipline focused on developing and optimizing prompts to efficiently utilize language models (LMs) for various applications and research topics. It involves skills to understand the capabilities and limitations of large language models, improving their performance on tasks like question answering and arithmetic reasoning. Prompt engineering is essential for designing robust prompting techniques that interact with LLMs and other tools, enhancing safety and building new capabilities by augmenting LLMs with domain knowledge and external tools.

Dzine (formerly Stylar.ai) is a powerful AI image generation and design tool that provides users with unparalleled control over image composition and style. It offers predefined styles for effortless design customization, layering, positioning, and sketching tools for intuitive design, and an 'Enhance' feature to address common challenges with AI-generated images. With a user-friendly interface suitable for all skill levels, Dzine makes it easy to create stunning and stylish images. It supports high-resolution exports and provides free credits for new users to try out its features.

Weavel is an AI tool designed to revolutionize prompt engineering for large language models (LLMs). It offers features such as tracing, dataset curation, batch testing, and evaluations to enhance the performance of LLM applications. Weavel enables users to continuously optimize prompts using real-world data, prevent performance regression with CI/CD integration, and engage in human-in-the-loop interactions for scoring and feedback. Ape, the AI prompt engineer, outperforms competitors on benchmark tests and ensures seamless integration and continuous improvement specific to each user's use case. With Weavel, users can effortlessly evaluate LLM applications without the need for pre-existing datasets, streamlining the assessment process and enhancing overall performance.

Lumora is an AI tool designed to help users efficiently manage, optimize, and test prompts for various AI platforms. It offers features such as prompt organization, enhancement, testing, and development. Lumora aims to improve prompt outcomes and streamline prompt management for teams, providing a user-friendly interface and a playground for experimentation. The tool also integrates with various AI models for text, image, and video generation, allowing users to optimize prompts for better results.

Narrow AI is an AI application that autonomously writes, monitors, and optimizes prompts for any model, enabling users to ship AI features 10x faster at a fraction of the cost. It streamlines the workflow by allowing users to test new models in minutes, compare prompt performance, and deploy on the optimal model for their use case. Narrow AI helps users maximize efficiency by generating expert-level prompts, adapting prompts to new models, and optimizing prompts for quality, cost, and speed.

Testmyprompt is an AI prompt software designed for AI Automation Agencies. It allows users to build and test AI prompts quickly and efficiently, saving significant time and ensuring consistency in prompt creation. The tool enables users to simulate thousands of conversations in seconds, import AI settings, add test questions with variations and success criteria, and analyze AI performance to identify areas of improvement. Testmyprompt helps users optimize their AI models for better performance and customer interaction.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

LMOps is a research initiative focusing on fundamental research and technology for building AI products with foundation models, particularly enabling AI capabilities with Large Language Models (LLMs) and Generative AI models. The project explores various aspects such as prompt optimization, longer context handling, LLM alignment, acceleration of LLMs, LLM customization, and understanding in-context learning. It also includes tools like Promptist for automatic prompt optimization, Structured Prompting for efficient long-sequence prompts consumption, and X-Prompt for extensible prompts beyond natural language. Additionally, LLMA accelerators are developed to speed up LLM inference by referencing and copying text spans from documents. The project aims to advance technologies that facilitate prompting language models and enhance the performance of LLMs in various scenarios.

This repository is an awesome list dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs. It includes terminology explanations, hosted and local models, Python libraries, blog articles, videos, Jupyter notebooks, and leaderboards related to LLMs and JSON generation. The repository covers various aspects such as function calling, JSON mode, guided generation, and tool usage with different providers and models.

PromptAgent is a repository for a novel automatic prompt optimization method that crafts expert-level prompts using language models. It provides a principled framework for prompt optimization by unifying prompt sampling and rewarding using MCTS algorithm. The tool supports different models like openai, palm, and huggingface models. Users can run PromptAgent to optimize prompts for specific tasks by strategically sampling model errors, generating error feedbacks, simulating future rewards, and searching for high-reward paths leading to expert prompts.

Magic_Words is a repository containing code for the paper 'What's the Magic Word? A Control Theory of LLM Prompting'. It implements greedy back generation and greedy coordinate gradient (GCG) to find optimal control prompts (magic words). Users can set up a virtual environment, install the package and dependencies, and run example scripts for pointwise control and optimizing prompts for datasets. The repository provides scripts for finding optimal control prompts for question-answer pairs and dataset optimization using the GCG algorithm.

This repository contains course materials for T81 559: Applications of Generative Artificial Intelligence at Washington University in St. Louis. The course covers practical applications of Large Language Models (LLMs) and text-to-image networks using Python. Students learn about generative AI principles, LangChain, Retrieval-Augmented Generation (RAG) model, image generation techniques, fine-tuning neural networks, and prompt engineering. Ideal for students, researchers, and professionals in computer science, the course offers a transformative learning experience in the realm of Generative AI.

AI_Gen_Novel is a project exploring the limits of AI in writing online fiction. Leveraging large language models and multi-agent technology, the tool aims to automatically generate web novels by compressing long texts, optimizing prompts, and enhancing originality. The tool combines the core idea of RecurrentGPT with language-based iterative computation to create texts of any length. Future directions include enhancing model capabilities, optimizing program architecture, and introducing more prior knowledge for structured storytelling.

Prompt Engineering Techniques is a comprehensive repository for learning, building, and sharing prompt engineering techniques, from basic concepts to advanced strategies for leveraging large language models. It provides step-by-step tutorials, practical implementations, and a platform for showcasing innovative prompt engineering techniques. The repository covers fundamental concepts, core techniques, advanced strategies, optimization and refinement, specialized applications, and advanced applications in prompt engineering.

Prompt Optimizer is a powerful AI prompt optimization tool that helps you write better AI prompts, improving AI output quality. It supports both web application and Chrome extension usage. The tool features intelligent optimization for prompt words, real-time testing to compare before and after optimization, integration with multiple mainstream AI models, client-side processing for security, encrypted local storage for data privacy, responsive design for user experience, and more.

LLM-Navigation is a repository dedicated to documenting learning records related to large models, including basic knowledge, prompt engineering, building effective agents, model expansion capabilities, security measures against prompt injection, and applications in various fields such as AI agent control, browser automation, financial analysis, 3D modeling, and tool navigation using MCP servers. The repository aims to organize and collect information for personal learning and self-improvement through AI exploration.

SynthLang is a tool designed to optimize AI prompts by reducing costs and improving processing speed. It brings academic rigor to prompt engineering, creating precise and powerful AI interactions. The tool includes core components like a Translator Engine, Performance Optimization, Testing Framework, and Technical Architecture. It offers mathematical precision, academic rigor, enhanced security, a modern interface, and instant testing. Users can integrate mathematical frameworks, model complex relationships, and apply structured prompts to various domains. Security features include API key management and data privacy. The tool also provides a CLI for prompt engineering and optimization capabilities.

Premier AI Prompt Engineer for Advanced LLM Optimization, Enhancing AI-to-AI Interaction and Comprehension. Create -> Optimize -> Revise iteratively

专门优化和翻译不同LLM的提示词的专家，基于用户选择和LLM特性。

Prompt优化和创建专家

Générateur de prompt optimal

帮助不会提问的人优化自己的提示词，让gpt的回答更符合心意

为Midjourney优化英文提示词及翻译

I generate optimised prompts for product lifestyle images, trained on 100,000s of customer-generated e-commerce images.

Turn simple prompts into detailed complex ones optimized for Midjourney AI

Refines GPT prompts for optimal results, focusing on user's specific needs.

Advanced AI tool for creating comprehensive GPT prompts, including profile images and subtitles.

This GPT generates the best possible LLM-agents for your system prompts. You can also specify the model size, like 3B, 33B, 70B, etc.

I enhance and engineer prompts to showcase GPT-4's full potential!

Expert in streaming growth and AI thumbnail prompts, with a human-like style.

Prompt Engineer automatically enhances the prompt, autonomously reasons based on that prompt, and generates exceptional responses.

効果的なプロンプトの作成と改善に関する専門的な知識とテクニックを提供します。

Expert in reverse prompt engineering for CustomGPTs

Highly optimized prompts and top secret refinements to create the perfect image every time...

This tool crafts precise, artistic prompts for DALL-E, Midjourney, and Stable Diffusion, enhancing creativity with tailored background, lighting, and perspective choices, inviting users into a world of customized visual storytelling.

Otimizador avançado de prompts para execução de qualquer tarefa.

Generate image prompts based on textual or visual input. Optimized for Midjourney v6.