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.

Bitrix24 is an all-in-one online workspace for businesses, offering a wide range of tools such as CRM, task management, online meetings, collaboration features, and more. It provides seamless management of sales, customer relationships, team collaboration, project management, marketing, automation, and human resources functions. With features like CoPilot AI assistance, mobile CRM capabilities, task automation, and online document storage, Bitrix24 aims to streamline business operations and enhance productivity.

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.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

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.

CanIRank is an AI-powered SEO software designed for small businesses and startups to improve their Google rankings. It provides specific action recommendations based on AI analysis, offers DIY instructions or the option to delegate to an SEO consultant with one click. CanIRank helps users understand why pages rank where they do, identifies changes for impactful results, and notifies users of new content ideas and ranking changes. The software automates keyword research, offers a Keyword ROI Score, and provides SERP analysis and rank tracking tools. CanIRank also offers competitive analysis, SEO tasks guidance, and a knowledge base for skill development. The application aims to help users achieve sustainable SEO results and demonstrate progress to clients.

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.

Sylph AI is an AI tool designed to maximize the potential of LLM applications by providing an auto-optimization library and an AI teammate to assist users in navigating complex LLM workflows. The tool aims to streamline the process of building LLM task pipelines, from model fine-tuning to hyperparameter optimization and auto-data labeling. Sylph AI is developed to address the challenges faced by LLM researchers and startup founders in managing and optimizing their projects efficiently.

Ecommerce Tools AI is an AI-driven suite of tools designed to supercharge ecommerce brands by providing solutions for customer feedback analysis, expense optimization, industry analysis, task scheduling, social media caption generation, and contract summarization. The tools are tailored for ecommerce success, automatically trained on each brand's unique story, and continuously updated with new features. By leveraging cutting-edge AI technology and user-friendly design, Ecommerce Tools AI aims to empower entrepreneurs and teams to make confident decisions, save time, and enhance customer experiences.

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.

Bitrix24 is an all-in-one online workspace designed for businesses to manage various aspects such as CRM, tasks, online meetings, and more. It offers a comprehensive set of tools for sales management, collaboration, project management, HR optimization, and automation. With features like CRM, task tracking, project collaboration, online meetings, and AI-powered assistance, Bitrix24 aims to streamline workflows, enhance productivity, and improve communication within organizations.

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.

LLM4AD is an open-source Python-based platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). It provides unified interfaces for methods, tasks, and LLMs, along with features like evaluation acceleration, secure evaluation, logs, GUI support, and more. The platform was originally developed for optimization tasks but is versatile enough to be used in other areas such as machine learning, science discovery, game theory, and engineering design. It offers various search methods and algorithm design tasks across different domains. LLM4AD supports remote LLM API, local HuggingFace LLM deployment, and custom LLM interfaces. The project is licensed under the MIT License and welcomes contributions, collaborations, and issue reports.

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.

Code Atlas is a lightweight interpreter developed in C++ that supports the execution of multi-language code snippets and partial Markdown rendering. It consumes significantly lower resources compared to similar tools, making it suitable for resource-limited devices. It leverages llama.cpp for local large-model inference and supports cloud-based large-model APIs. The tool provides features for code execution, Markdown rendering, local AI inference, and resource efficiency.

The 'llm-strategy' repository implements the Strategy Pattern using Large Language Models (LLMs) like OpenAI’s GPT-3. It provides a decorator 'llm_strategy' that connects to an LLM to implement abstract methods in interface classes. The package uses doc strings, type annotations, and method/function names as prompts for the LLM and can convert the responses back to Python data. It aims to automate the parsing of structured data by using LLMs, potentially reducing the need for manual Python code in the future.

ATLAS (Adaptive Task & Logic Automation System) is a high-performance Model Context Protocol server designed for LLMs to manage complex task hierarchies. Built with TypeScript, it features ACID-compliant storage, efficient task tracking, and intelligent template management. ATLAS provides LLM Agents task management through a clean, flexible tool interface. The server implements the Model Context Protocol (MCP) for standardized communication between LLMs and external systems, offering hierarchical task organization, task state management, smart templates, enterprise features, and performance optimization.

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.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology. It helps enterprises and individuals build intelligent Q&A systems based on their own knowledge bases. By combining document retrieval and large language models, it delivers accurate and reliable knowledge-based question-answering services. The system is designed with features like intelligent document management, advanced dialogue engine, and a robust architecture. It supports multiple document formats, async document processing, multi-turn contextual dialogue, and reference citations in conversations. The architecture includes a backend stack with Python FastAPI, MySQL + ChromaDB, MinIO, Langchain, JWT + OAuth2 for authentication, and a frontend stack with Next.js, TypeScript, Tailwind CSS, Shadcn/UI, and Vercel AI SDK for AI integration. Performance optimization includes incremental document processing, streaming responses, vector database performance tuning, and distributed task processing. The project is licensed under the Apache-2.0 License and is intended for learning and sharing RAG knowledge only, not for commercial purposes.

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.

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.