Best AI tools for< Track Prompt Performance >

PromptLeo is a prompt engineering platform designed to empower organizations in effectively applying Generative AI. It offers a simple interface for prompt engineers to create, test, and change prompts, integrating Generative AI into daily workflows without the need to store prompts in text files. With features like prompt templates, feedback loop & iterations, access to multiple models, and a dedicated prompt engineering library, PromptLeo aims to streamline prompt management and versioning, enhance prompt performance tracking, and facilitate collaboration among team members.

RankRaven is an advanced AI rank tracking tool that allows users to monitor and analyze their brand's performance on AI search engines. The tool leverages multiple AI models such as OpenAI ChatGPT, Google Bard, and Microsoft Bing to provide fast and accurate SEO tracking. Users can track their brand's rank across different AI search models, receive daily rank updates, compare performance across languages and countries, and analyze trends over time. RankRaven automates the process of running prompts and checking keyword appearances in model answers, making it a valuable tool for individuals, businesses, and agencies looking to optimize their AI SEO strategies.

AIby.email is an AI-powered email assistant that helps you write better emails, faster. It uses natural language processing to understand your intent and generate personalized email responses. AIby.email also offers a variety of other features, such as email scheduling, tracking, and analytics.

ACEPAL is a personalized marketing advice platform that provides tailored guidance for a wide range of marketing tasks. It leverages advanced AI techniques, including Dynamic Prompt Builder and Advice Optimization Chatbot, to enhance marketing effectiveness. With ACEPAL, users can select a specific marketing task and provide relevant variables to receive personalized advice and recommendations.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

Otterly.AI is an AI application that offers AI ranking and monitoring services for ChatGPT, Bing Copilot, and Google Gemini/SGE. It helps users monitor their brand visibility, content, and competitors on AI-powered search platforms. The tool allows users to track their rankings on GPT-4, Google Gemini Pro, and Microsoft Bing Copilot, providing insights to optimize their marketing strategies for the future of AI-powered searches.

Lunary is an AI developer platform designed to bring AI applications to production. It offers a comprehensive set of tools to manage, improve, and protect LLM apps. With features like Logs, Metrics, Prompts, Evaluations, and Threads, Lunary empowers users to monitor and optimize their AI agents effectively. The platform supports tasks such as tracing errors, labeling data for fine-tuning, optimizing costs, running benchmarks, and testing open-source models. Lunary also facilitates collaboration with non-technical teammates through features like A/B testing, versioning, and clean source-code management.

Quiz Makito is an innovative AI quiz generation platform that leverages AI technology to streamline the quiz creation process. It offers a range of features, from gamified quizzes to personalized recommendations, to enhance the learning experience. With regular updates and high-quality design, Quiz Makito aims to provide users with engaging and interactive quizzes on various topics, powered by cutting-edge AI algorithms.

Coval is an AI tool designed to help users ship reliable AI agents faster by providing simulation and evaluations for voice and chat agents. It allows users to simulate thousands of scenarios from a few test cases, create prompts for testing, and evaluate agent interactions comprehensively. Coval offers AI-powered simulations, voice AI compatibility, performance tracking, workflow metrics, and customizable evaluation metrics to optimize AI agents efficiently.

Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. Two most famous AI metadata applications are: experiment tracking and prompt engineering. Aim provides a performant and beautiful UI for exploring and comparing training runs, prompt sessions.

PromptLayer is the first platform built for prompt engineers. It provides a suite of tools to help prompt engineers create, manage, and share prompts. With PromptLayer, prompt engineers can easily find the right prompts for their needs, track their progress, and collaborate with others.

Spelbook is an AI-powered tool that helps you organize, manage, and generate AI prompts. With Spelbook, you can easily create, store, and share your prompts, as well as track your progress and results. Spelbook also provides a variety of features to help you improve your prompt engineering skills, such as a prompt builder, a prompt library, and a community forum.

Presentations.AI is an AI-powered presentation tool that helps users create stunning presentations quickly and easily. With its intuitive interface and powerful features, users can turn any idea into a presentation instantly. Presentations.AI also offers a collaborative AI partner that can help users with every step of the presentation creation process.

Slayed.ai is an AI-powered invoicing and payment platform designed to streamline financial processes for freelancers, independent contractors, and small businesses. It offers a suite of features including invoicing, estimates, payments, expense tracking, and reporting. Slayed.ai aims to simplify billing, accelerate cash flow, and provide valuable insights to help businesses grow faster.

Ordinary Prompts is a tool that helps users create better prompts for ChatGPT and other AI language models. It provides a library of pre-written prompts that can be used for a variety of tasks, such as generating creative content, getting help with coding, and writing emails. Ordinary Prompts also includes a number of features that make it easy to customize prompts and track your progress.

Pluto.fi is an AI investing application that provides users with research, insights, and trading capabilities in one platform. It offers personalized AI assistance for making informed investment decisions, analyzing real-time market data, and optimizing investment portfolios. With access to over 40 data sources, Pluto ensures users stay informed and empowered to make prompt decisions. The application is trusted by individuals taking control of their finances and offers features like scheduled prompts, portfolio optimization, attachments & charts, and syncing of financial accounts.

CoCoClip.AI is an all-in-one AI video editor designed for creating engaging and viral social media videos. The platform offers a range of AI-powered tools such as AI video generator, AI cat video generator, AI product video generator, AI story generator, and AI script generator. Users can easily create captivating videos for platforms like YouTube Shorts, TikTok, and Instagram Reels, with features like image-to-prompt generation and text-to-video conversion. CoCoClip.AI also provides pricing plans for different user needs, an affiliate program for earning passive income, and a blog section for valuable insights on making money through AI video creation. The platform is trusted by numerous social media creators for its innovative AI technology and user-friendly features.

The website offers a brand new course titled 'Prompt Engineering for Everyone' to help users master the language of AI. With over 100 courses and 20+ learning paths, users can learn AI, Data Science, and other emerging technologies. The platform provides hands-on content designed by expert instructors, allowing users to gain practical, industry-relevant knowledge and skills. Users can earn certificates to showcase their expertise and build projects to demonstrate their skills. Trusted by 3 million learners globally, the platform offers a community of learners with a proven track record of success.

Songburst is an AI music generator application designed for everyone to create original music effortlessly. It allows users to generate music for various purposes such as online content, mixes, and distribution on platforms like Spotify and Apple Music. With Songburst, users can describe the music they want, and the AI will create a unique track based on their input. The application offers unlimited downloads of generated music in wav or mp3 formats, along with a Prompt Enhancer feature to make prompts more descriptive. Songburst is available on the web and Android platforms, providing a user-friendly experience for music creation and production.

Codlixe is an AI-powered application designed to help users balance their life goals and journal effectively. With the assistance of AI, users can set goals that bring balance to various areas of their lives and receive journaling prompts to kickstart their writing journey. The application tracks and categorizes goals, provides suggestions for goal setting based on progress analysis, and offers journaling prompts to inspire users. Codlixe aims to be a growth companion for users, guiding them towards a more balanced and fulfilling life.

LLMstudio by TensorOps is a platform that offers prompt engineering tools for accessing models from providers like OpenAI, VertexAI, and Bedrock. It provides features such as Python Client Gateway, Prompt Editing UI, History Management, and Context Limit Adaptability. Users can track past runs, log costs and latency, and export history to CSV. The tool also supports automatic switching to larger-context models when needed. Coming soon features include side-by-side comparison of LLMs, automated testing, API key administration, project organization, and resilience against rate limits. LLMstudio aims to streamline prompt engineering, provide execution history tracking, and enable effortless data export, offering an evolving environment for teams to experiment with advanced language models.

pytest-evals is a minimalistic pytest plugin designed to help evaluate the performance of Language Model (LLM) outputs against test cases. It allows users to test and evaluate LLM prompts against multiple cases, track metrics, and integrate easily with pytest, Jupyter notebooks, and CI/CD pipelines. Users can scale up by running tests in parallel with pytest-xdist and asynchronously with pytest-asyncio. The tool focuses on simplifying evaluation processes without the need for complex frameworks, keeping tests and evaluations together, and emphasizing logic over infrastructure.

Agentipy is a powerful toolkit for interacting with the Solana blockchain, providing easy-to-use functions for token operations, trading, yield farming, LangChain integration, performance tracking, token data retrieval, pump & fun token launching, Meteora DLMM pool creation, and more. It offers features like token transfers, balance checks, staking, deploying new tokens, requesting faucet funds, trading with customizable slippage, yield farming with Lulo, and accessing LangChain tools for enhanced blockchain interactions. Users can also track current transactions per second (TPS), fetch token data by ticker or address, launch pump & fun tokens, create Meteora DLMM pools, buy/sell tokens with Raydium liquidity, and burn/close token accounts individually or in batches.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.

Awesome GPT Prompt Engineering is a curated list of resources, tools, and shiny things for GPT prompt engineering. It includes roadmaps, guides, techniques, prompt collections, papers, books, communities, prompt generators, Auto-GPT related tools, prompt injection information, ChatGPT plug-ins, prompt engineering job offers, and AI links directories. The repository aims to provide a comprehensive guide for prompt engineering enthusiasts, covering various aspects of working with GPT models and improving communication with AI tools.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

ChatGLM3 is a conversational pretrained model jointly released by Zhipu AI and THU's KEG Lab. ChatGLM3-6B is the open-sourced model in the ChatGLM3 series. It inherits the advantages of its predecessors, such as fluent conversation and low deployment threshold. In addition, ChatGLM3-6B introduces the following features: 1. A stronger foundation model: ChatGLM3-6B's foundation model ChatGLM3-6B-Base employs more diverse training data, more sufficient training steps, and more reasonable training strategies. Evaluation on datasets from different perspectives, such as semantics, mathematics, reasoning, code, and knowledge, shows that ChatGLM3-6B-Base has the strongest performance among foundation models below 10B parameters. 2. More complete functional support: ChatGLM3-6B adopts a newly designed prompt format, which supports not only normal multi-turn dialogue, but also complex scenarios such as tool invocation (Function Call), code execution (Code Interpreter), and Agent tasks. 3. A more comprehensive open-source sequence: In addition to the dialogue model ChatGLM3-6B, the foundation model ChatGLM3-6B-Base, the long-text dialogue model ChatGLM3-6B-32K, and ChatGLM3-6B-128K, which further enhances the long-text comprehension ability, are also open-sourced. All the above weights are completely open to academic research and are also allowed for free commercial use after filling out a questionnaire.

H2O LLM Studio is a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). With H2O LLM Studio, you can easily and effectively fine-tune LLMs without the need for any coding experience. The GUI is specially designed for large language models, and you can finetune any LLM using a large variety of hyperparameters. You can also use recent finetuning techniques such as Low-Rank Adaptation (LoRA) and 8-bit model training with a low memory footprint. Additionally, you can use Reinforcement Learning (RL) to finetune your model (experimental), use advanced evaluation metrics to judge generated answers by the model, track and compare your model performance visually, and easily export your model to the Hugging Face Hub and share it with the community.

LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.

Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process of observability into GenAI projects as easy as pie – literally, with just **a single line of code**. Whether you're working with popular LLM Libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights to improve performance and reliability.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

Giskard is an open-source Python library that automatically detects performance, bias & security issues in AI applications. The library covers LLM-based applications such as RAG agents, all the way to traditional ML models for tabular data.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

The Aleph Alpha Intelligence Layer️ offers a comprehensive suite of development tools for crafting solutions that harness the capabilities of large language models (LLMs). With a unified framework for LLM-based workflows, it facilitates seamless AI product development, from prototyping and prompt experimentation to result evaluation and deployment. The Intelligence Layer SDK provides features such as Composability, Evaluability, and Traceability, along with examples to get started. It supports local installation using poetry, integration with Docker, and access to LLM endpoints for tutorials and tasks like Summarization, Question Answering, Classification, Evaluation, and Parameter Optimization. The tool also offers pre-configured tasks for tasks like Classify, QA, Search, and Summarize, serving as a foundation for custom development.

Phoenix is a tool that provides MLOps and LLMOps insights at lightning speed with zero-config observability. It offers a notebook-first experience for monitoring models and LLM Applications by providing LLM Traces, LLM Evals, Embedding Analysis, RAG Analysis, and Structured Data Analysis. Users can trace through the execution of LLM Applications, evaluate generative models, explore embedding point-clouds, visualize generative application's search and retrieval process, and statistically analyze structured data. Phoenix is designed to help users troubleshoot problems related to retrieval, tool execution, relevance, toxicity, drift, and performance degradation.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

Proactive, user-friendly, and constantly updated educational prompt assistant.

Expert in real-time trend analysis, sourcing data-driven insights (e.g. prompt: Give me last month's top trends in AI)

ForexGPT's free version pulls real-time rates for forex pairs & prices for finance symbols such as bitcoin and stock market indices (i.e. SPX500, NAS100, BTCUSD, EURUSD), performs market forecasts and analysis, w/ prompt-generated chart links to our custom TradingView charts. Not financial advice.

Step 1: Upload RFP Step 2: Prompt: I need a comprehensive summary of the RFP. Split the summary in multiple blocks / section. After giving me one section wait for my command to move to the next section. Step 3: Prompt: Move to the next section, please :)

Upload a macro screenshot or type in your goals, and NutritionistGPT will tailor meal suggestions for you. Get started with the prompts below!

Free SEO analysis for your website, competitors, keywords. Analyze your titles, meta descriptions, headers (H1, H2, H3), body content, site speed, keyword density, keyword usage, and technical SEO factors. Example prompts here: https://seovendor.co/101-seo-chatgpt-prompts-to-rank-in-google/

Creates reflective diary entries in Japanese

Your go-to, fun-loving F1 guide for trivia, facts, and games!

I turn Toggl data into insightful visuals. Get your data from Settings (in Toggl Track) -> Data Export -> Export Time Entries. Ask for bonus analyses and plots :)

Your TV/Film Companion. Keep track of plot developments and character arcs in your favourite TV shows and films, spoiler-free.

I track STEPN game system changes daily.

Track & analyze your carbon footprint with ease! EcoTracker Pro helps you make eco-friendly choices & reduce your impact. 🌎♻️

Easily track protein, calories and fat by taking photos of your meals.

by Medicinex.tech: Simply snap a photo of your meals or nutrition label, and AI will calculate the calories and nutrients in your food and track progress.

Your fast track to the hottest Black Friday deals, with direct links.

I'm a coach for instrumentalists, helping you plan and track your practice sessions.

A GPT to create images, and keep track of metadata of the images

I write detailed CSW reports and track user progress for improvement.

Decision Journal can help you with decision making, keeping track of the decisions you've made, and helping you review them later on.

Your favorite New York Rappers battling it out for the crown to their city! On the track to in the ring 🥊👊🏼💥. Choose your two fighters! Cardi B, Nicki Minaj, Ice Spice, ASAP Rocky, Nas, Jay Z, 50 Cent, French Montana, Fat Joe, A Boogie, Lil Tecca, Dave East, Joey Bada$$