Best AI tools for< Task Optimization >

GPTavern is an AI tool that offers a variety of features for coding, research, art, and more. It provides tools like Grimoire, Gifpt, Researchoor, and Cauldron Fortune Teller for various tasks. Users can access Tech experiments, Emotion Shaman, Soothe Sayer, and more to enhance their projects. The platform also includes features like Custom GPT building, Evolution Chamber, and Spellbook for Hotkeys. GPTavern aims to provide a versatile AI tool for a wide range of users.

GPT Personalize is a platform offering free custom GPTs designed to enhance productivity in various domains such as education, tech support, and more. Users can access a range of custom GPTs with a ChatGPT Plus or Enterprise subscription, making tasks easier and learning more fun. The platform also provides expert guides on integrating knowledge into GPTs, mastering DNS management, and developing innovative actions for GPT models. GPT Personalize aims to optimize tasks and accelerate learning through the power of generative AI.

Bookeeping.ai is an AI-powered accounting tool that automates 95% of financial tasks, offering stress-free solutions for businesses and individuals. It replaces traditional accounting software and manual processes by leveraging artificial intelligence to streamline tasks such as tax form filing, receipt matching, document creation, and more. Bookeeping.ai aims to save time, money, and reduce the complexities associated with financial management. Users can interact with the AI accountant through chat messages to complete various financial tasks efficiently.

Taskmole is an AI-powered tool that helps businesses automate their processes. It uses task mining to track and record everyday computer tasks, then generates process maps and provides automation recommendations. Taskmole integrates with popular automation tools like Zapier, Make, and n8n, making it easy to automate tasks and improve efficiency.

SE Ranking is a robust SEO platform that offers a comprehensive suite of tools for agencies, enterprises, SMBs, and entrepreneurs. It provides features such as Rank Tracker, On-Page SEO Checker, Website Audit, Competitor Analysis Tool, and Backlink Checker. SE Ranking is trusted by users worldwide and offers a range of resources including educational content, webinars, and an Agency Hub. The platform also includes an AI Writer for content creation and optimization. With a focus on data quality and user satisfaction, SE Ranking aims to help users improve their SEO performance and online visibility.

Surfsite is an AI application designed for SaaS professionals to streamline workflows, make data-driven decisions, and enhance productivity. It offers AI assistants that connect to essential tools, provide real-time insights, and assist in various tasks such as market research, project management, and analytics. Surfsite aims to centralize data, improve decision-making, and optimize processes for product managers, growth marketers, and founders. The application leverages advanced LLMs and integrates seamlessly with popular tools like Google Docs, Jira, and Trello to offer a comprehensive AI-powered solution.

Todo.is is an AI-powered task management and project organization application designed to enhance productivity and efficiency. It offers features such as AI-powered task generation, smart suggestions, and seamless collaboration tools. Users can interact with an AI assistant for instant support, convert text to speech, analyze images, and more. Todo.is is suitable for teams across various industries, providing a structured approach to task management and project organization.

Plandex is an open-source, terminal-based AI coding engine that assists developers in completing complex programming tasks, handling problematic output, and enhancing productivity. It is designed to simplify software development by leveraging AI capabilities.

Kin is a personal AI application designed to enhance both your private and work life. It offers personalized coaching, guidance, and emotional support to boost your confidence and impact. Kin helps you piece together mental puzzles, providing clear guidance and support for your professional and personal journey. The application prioritizes privacy and security, ensuring that all data stays on your device and is encrypted. With features like advice, role-playing conversations, generating ideas, and time optimization, Kin aims to nurture connections, prepare for tough situations, and help you manage tasks efficiently.

SJGPTS is an AI-powered platform that offers a variety of tools and services to enhance different aspects of life. It provides solutions in areas such as SEO optimization, Excel expertise, academic paper analysis, task automation, logo design, programming assistance, content creation, and project management. With a focus on leveraging AI technology, SJGPTS aims to streamline processes, improve efficiency, and deliver tailored solutions to its users.

Mantra AI is an AI-powered productivity application designed to help users enhance their daily routines, boost productivity, and improve well-being. It offers a suite of intelligent features such as AI device tracking, personalized playlists, mindfulness assistant, smart task management, focus optimization, and adaptive scheduling. Users can optimize their digital habits, prioritize tasks, minimize distractions, and achieve mental clarity with the help of AI technology. Mantra AI aims to revolutionize workflow, enhance focus, and provide personalized recommendations for a harmonious and productive day.

Reclaim is an AI-powered scheduling app that helps teams optimize their time and improve productivity. It offers a range of features, including smart scheduling, task management, meeting optimization, and work-life balance tools. Reclaim integrates with popular calendar and task management apps, making it easy to manage your schedule and tasks in one place.

Prompting Sheets is an AI-powered spreadsheet add-on for Google Sheets that revolutionizes project planning and task management. It offers customizable project plans and to-do lists tailored to individual business needs, streamlining workflows and boosting productivity. With features like AI Chatbot, customizable prompts, and prompt optimization, Prompting Sheets simplifies complex tasks, automates processes, and enhances user experience. The application leverages AI capabilities for data analysis and content creation, providing real-time data queries and dynamic solutions directly within Google Sheets.

Unify is an AI tool that offers a unified platform for accessing and comparing various Language Models (LLMs) from different providers. It allows users to combine models for faster, cheaper, and better responses, optimizing for quality, speed, and cost-efficiency. Unify simplifies the complex task of selecting the best LLM by providing transparent benchmarks, personalized routing, and performance optimization tools.

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.

checklist.gg is an AI-driven checklist management tool that helps organizations streamline their processes and ensure tasks are completed efficiently. It leverages the latest GPT AI engine to create customized checklists, processes, and SOPs tailored to specific needs. With features like task management, workflow management, real-time collaboration, integration with other tools, and a library of over 1,000 templates, checklist.gg aims to improve productivity, reduce errors, and drive continuous process improvement.

Odin AI is an advanced AI tool that offers a range of features to transform enterprise data management, automate tasks, enhance customer service, and boost operational efficiency. With Odin AI, users can extract actionable insights, streamline support tickets, automate HR helpdesk, enhance e-commerce customer experience, optimize marketing efficiency, and more. The tool provides powerful AI-driven solutions for various business needs, including on-premises deployment, invoice processing, PDF analysis, technical document search, and knowledge base optimization.

Localo is an AI-powered local SEO tool and software designed to enhance the visibility and rankings of businesses on Google. It offers a comprehensive set of features such as position tracking, task management, monitoring, audit, publication platform, statistics, citations, and more. With AI-driven tasks and tools, Localo helps businesses attract new customers in their area and improve their online presence. The tool is suitable for various industries and functions, providing specialized solutions to improve business profiles and online visibility.

AIAgent.app is a web application that utilizes artificial intelligence to automate tasks and decision-making processes based on user-defined goals. It employs a multi-agent system, where each agent focuses on specific tasks such as execution, task creation, prioritization, and iteration. By leveraging the power of GPT-4, AIAgent.app democratizes access to cutting-edge AI technology, enabling users to enhance their productivity and streamline their workflows.

TAISK is an AI tool that allows users to build, use, and sell AI automations for any task. It leverages the latest large language models, powerful tools, and third-party plugins to create AI agents tailored to specific tasks. With TAISK, users can harness the power of artificial intelligence to streamline processes, increase efficiency, and automate repetitive tasks. Whether you are a developer, business owner, or individual looking to optimize workflows, TAISK provides a user-friendly platform to create custom AI solutions. Get started for free and unlock the potential of AI automation with TAISK.

GLake is an acceleration library and utilities designed to optimize GPU memory management and IO transmission for AI large model training and inference. It addresses challenges such as GPU memory bottleneck and IO transmission bottleneck by providing efficient memory pooling, sharing, and tiering, as well as multi-path acceleration for CPU-GPU transmission. GLake is easy to use, open for extension, and focuses on improving training throughput, saving inference memory, and accelerating IO transmission. It offers features like memory fragmentation reduction, memory deduplication, and built-in security mechanisms for troubleshooting GPU memory issues.

KsanaLLM is a high-performance engine for LLM inference and serving. It utilizes optimized CUDA kernels for high performance, efficient memory management, and detailed optimization for dynamic batching. The tool offers flexibility with seamless integration with popular Hugging Face models, support for multiple weight formats, and high-throughput serving with various decoding algorithms. It enables multi-GPU tensor parallelism, streaming outputs, and an OpenAI-compatible API server. KsanaLLM supports NVIDIA GPUs and Huawei Ascend NPU, and seamlessly integrates with verified Hugging Face models like LLaMA, Baichuan, and Qwen. Users can create a docker container, clone the source code, compile for Nvidia or Huawei Ascend NPU, run the tool, and distribute it as a wheel package. Optional features include a model weight map JSON file for models with different weight names.

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.

Nerority's Advanced GPT Suite is a collection of 33 GPTs that can be controlled with natural language prompts. The suite includes tools for various tasks such as strategic consulting, business analysis, career profile building, content creation, educational purposes, image-based tasks, knowledge engineering, marketing, persona creation, programming, prompt engineering, role-playing, simulations, and task management. Users can access links, usage instructions, and guides for each GPT on their respective pages. The suite is designed for public demonstration and usage, offering features like meta-sequence optimization, AI priming, prompt classification, and optimization. It also provides tools for generating articles, analyzing contracts, visualizing data, distilling knowledge, creating educational content, exploring topics, generating marketing copy, simulating scenarios, managing tasks, and more.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

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.

HAMi is a Heterogeneous AI Computing Virtualization Middleware designed to manage Heterogeneous AI Computing Devices in a Kubernetes cluster. It allows for device sharing, device memory control, device type specification, and device UUID specification. The tool is easy to use and does not require modifying task YAML files. It includes features like hard limits on device memory, partial device allocation, streaming multiprocessor limits, and core usage specification. HAMi consists of components like a mutating webhook, scheduler extender, device plugins, and in-container virtualization techniques. It is suitable for scenarios requiring device sharing, specific device memory allocation, GPU balancing, low utilization optimization, and scenarios needing multiple small GPUs. The tool requires prerequisites like NVIDIA drivers, CUDA version, nvidia-docker, Kubernetes version, glibc version, and helm. Users can install, upgrade, and uninstall HAMi, submit tasks, and monitor cluster information. The tool's roadmap includes supporting additional AI computing devices, video codec processing, and Multi-Instance GPUs (MIG).

Hezar is an all-in-one AI library designed specifically for the Persian community. It brings together various AI models and tools, making it easy to use AI with just a few lines of code. The library seamlessly integrates with Hugging Face Hub, offering a developer-friendly interface and task-based model interface. In addition to models, Hezar provides tools like word embeddings, tokenizers, feature extractors, and more. It also includes supplementary ML tools for deployment, benchmarking, and optimization.

LLMs is a Chinese large language model technology stack for practical use. It includes high-availability pre-training, SFT, and DPO preference alignment code framework. The repository covers pre-training data cleaning, high-concurrency framework, SFT dataset cleaning, data quality improvement, and security alignment work for Chinese large language models. It also provides open-source SFT dataset construction, pre-training from scratch, and various tools and frameworks for data cleaning, quality optimization, and task alignment.

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.

Timefold Solver is an optimization engine evolved from OptaPlanner. Developed by the original OptaPlanner team, our aim is to free the world of wasteful planning.

AvaTaR is a novel and automatic framework that optimizes an LLM agent to effectively use provided tools and improve performance on a given task/domain. It designs a comparator module to provide insightful prompts to the LLM agent via reasoning between positive and negative examples from training data.

The `mystic` framework provides a collection of optimization algorithms and tools that allow the user to robustly solve hard optimization problems. It offers fine-grained power to monitor and steer optimizations during the fit processes. Optimizers can advance one iteration or run to completion, with customizable stop conditions. `mystic` optimizers share a common interface for easy swapping without writing new code. The framework supports parameter constraints, including soft and hard constraints, and provides tools for scientific machine learning, uncertainty quantification, adaptive sampling, nonlinear interpolation, and artificial intelligence. `mystic` is actively developed and welcomes user feedback and contributions.

AIMET is a library that provides advanced model quantization and compression techniques for trained neural network models. It provides features that have been proven to improve run-time performance of deep learning neural network models with lower compute and memory requirements and minimal impact to task accuracy. AIMET is designed to work with PyTorch, TensorFlow and ONNX models. We also host the AIMET Model Zoo - a collection of popular neural network models optimized for 8-bit inference. We also provide recipes for users to quantize floating point models using AIMET.

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

AdalFlow is a library designed to help developers build and optimize Large Language Model (LLM) task pipelines. It follows a design pattern similar to PyTorch, offering a light, modular, and robust codebase. Named in honor of Ada Lovelace, AdalFlow aims to inspire more women to enter the AI field. The library is tailored for various GenAI applications like chatbots, translation, summarization, code generation, and autonomous agents, as well as classical NLP tasks such as text classification and named entity recognition. AdalFlow emphasizes modularity, robustness, and readability to support users in customizing and iterating code for their specific use cases.

gollm is a Go package designed to simplify interactions with Large Language Models (LLMs) for AI engineers and developers. It offers a unified API for multiple LLM providers, easy provider and model switching, flexible configuration options, advanced prompt engineering, prompt optimization, memory retention, structured output and validation, provider comparison tools, high-level AI functions, robust error handling and retries, and extensible architecture. The package enables users to create AI-powered golems for tasks like content creation workflows, complex reasoning tasks, structured data generation, model performance analysis, prompt optimization, and creating a mixture of agents.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

Send me a draft of your task delegation message; I'll make it better!

Expert in simplifying tasks with tailored solutions

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

A decision-making assistant using strategic analysis.

Drill sergeant voice for stern guidance.

What are the specific tasks? / 具体的なタスクを教えてください。

Performs a task

Line up your tasks and knock them down

Focuses on higher education specifics.

Transforms 3rd grade math tasks into creative, thinking-based activities.

Streamlines project execution through effective task management.

A helpful Brokerage Clerk for clerical duties in securities transactions.

Decisive IELTS Task 2 Assessor

This GPT will help you recreate your writing voice across multiple tasks. All you need is a prior writing sample (email, blog, article, tweet) and a new task.

Broadway-themed task coach with a musical twist.

Eisenhower Matrix task prioritization assistant. GPT helps users prioritize tasks by categorizing them into four quadrants of the Eisenhower Matrix

Your narrative task guide!

Have a large task to accomplish? AutoChatGPT will continually review and give itself new instructions to complete a task using expert agents.

Efficient Assistant for task management, info retrieval, and scheduling. Offers dynamic, personalized support while ensuring user privacy and data security. Ideal for organizing tasks, setting reminders, and providing up-to-date information.

Just upload a numerical dataset for classification task, will apply data analysis and machine learning steps to make a best model possible.