Best AI tools for< Execute Functions >

Gorilla is an AI tool that integrates a large language model (LLM) with massive APIs to enable users to interact with a wide range of services. It offers features such as training the model to support parallel functions, benchmarking LLMs on function-calling capabilities, and providing a runtime for executing LLM-generated actions like code and API calls. Gorilla is open-source and focuses on enhancing interaction between apps and services with human-out-of-loop functionality.

Simudyne is an enterprise simulation software powered by AI technology. It allows large financial institutions to simulate various future scenarios efficiently and measure their impact in a safe virtual environment. The software offers solutions for environment, social and governance issues, market execution, financial crime analytics, and risk management. Simudyne's technology is secure, distributable, and Cloudera certified, providing a robust library of code for specialized functions. The platform also utilizes agent-based modeling to bridge the gap between theoretical and real-world scenarios in the financial services sector.

Functionize is an AI-powered test automation platform that helps enterprises improve their product quality and release faster. It uses machine learning to automate test creation, maintenance, and execution, and provides a range of features to help teams collaborate and manage their testing process. Functionize integrates with popular CI/CD tools and DevOps pipelines, and offers a range of pricing options to suit different needs.

Cheat Layer is a no-code business automation platform that leverages AI technology to solve complex automation problems. The platform utilizes a multi-modal model, Atlas-1, and a custom-trained version of GPT-4 to function as a personal AI team. Cheat Layer offers automations in simple language, robust targeting strategies, unlimited autoresponding, and no-code drag-drop interfaces for automating manual tasks. Users can automate various business processes efficiently and effectively.

Virtuoso is an AI-powered, end-to-end functional testing tool for web applications. It uses Natural Language Programming, Machine Learning, and Robotic Process Automation to automate the testing process, making it faster and more efficient. Virtuoso can be used by QA managers, practitioners, and senior executives to improve the quality of their software applications.

BlazeMeter by Perforce is an AI-powered continuous testing platform designed to automate testing processes and enhance software quality. It offers effortless test creation, seamless test execution, instant issue analysis, and self-sustaining maintenance. BlazeMeter provides a comprehensive solution for performance, functional, scriptless, API testing, and monitoring, along with test data and service virtualization. The platform enables teams to speed up digital transformation, shift quality left, and streamline DevOps practices. With AI analytics, scriptless test creation, and UX testing capabilities, BlazeMeter empowers users to drive innovation, accuracy, and speed in their test automation efforts.

Digital First AI is an AI-powered visual workflows tool that helps users build and execute personalized marketing strategies. The platform offers features such as data safe room for managing marketing data, AI-powered NLP for extracting insights, collaborative workspace for team collaboration, customizable marketing workflows, scalable content production, and automated data collection from social media and websites. Digital First AI aims to maximize marketing impact, streamline campaign creation, and enhance decision-making with AI-driven insights.

AskCory is an AI-powered marketing assistant designed to save time by generating strategic tactics, action plans, and content assets. It effortlessly integrates actionable insights and benchmarks, offering personalized marketing strategies for businesses in just minutes. The platform helps users craft and execute marketing plans 5x faster, saving up to 80% of their time. With AskCory, users can say goodbye to blank page syndrome and generic suggestions, and instead, receive proven tactics based on industry benchmarks. The tool streamlines the task of preparing action plans, allowing users to focus on decision-making and project leadership. AskCory also provides benefits such as improved ROI, streamlined workflows, and data-driven decision-making for busy professionals.

Google Colab is a free Jupyter notebook environment that runs in the cloud. It allows you to write and execute Python code without having to install any software or set up a local environment. Colab notebooks are shareable, so you can easily collaborate with others on projects.

Evercopy is an AI-powered marketing automation platform that helps businesses of all sizes plan, execute, and optimize their marketing campaigns. With Evercopy, businesses can create high-impact, SEO-friendly content, automate marketing tasks, and track campaign performance in real-time. Evercopy's AI-driven insights help businesses understand their target audience, identify opportunities for growth, and make data-driven decisions.

Waxwing is an AI-powered project management tool designed for growth marketers. It offers highly personalized, detailed, and proven marketing strategies for various professionals like growth hackers, performance marketers, social media marketers, founders, D2C owners, SEO experts, and product marketers. The tool provides adaptive strategies, role-based KPI alignment, contextual strategy development, advanced intelligence and insights, intelligent task generation, innovative content creation, efficient project management, and collaboration features. Waxwing stands out by offering AI-driven marketing strategies, automated business profiling, adaptive learning, personalized KPIs, and dynamic project management with comprehensive reporting.

K2 AI is an AI consulting company that offers a range of services from ideation to impact, focusing on AI strategy, implementation, operation, and research. They support and invest in emerging start-ups and push knowledge boundaries in AI. The company helps executives assess organizational strengths, prioritize AI use cases, develop sustainable AI strategies, and continuously monitor and improve AI solutions. K2 AI also provides executive briefings, model development, and deployment services to catalyze AI initiatives. The company aims to deliver business value through rapid, user-centric, and data-driven AI development.

Trendin is a content creation platform that leverages AI technology to help users discover trending content, get inspired, and create professional content outlines quickly and efficiently. The platform offers a complete content creation suite, including content discovery, smart curation, content intelligence, and a variety of content kits. Trendin aims to streamline the content creation process for creators of all levels by providing advanced features and AI-powered tools that save time and enhance productivity.

Composer is an AI-powered trading platform that allows users to build, backtest, and execute trading algorithms seamlessly. With Composer, users can create strategies using natural language and AI assistance, automate trading executions, discover pre-built strategies, and customize their own strategies with a visual editor. The platform offers transparent pricing, tax-smart trading options, and unlimited access to automated trading. Composer aims to make sophisticated quant investing accessible to all users, providing a user-friendly interface for creating and managing trading strategies.

LinkSquares is an all-in-one legal technology platform powered by AI that helps in-house legal teams streamline their contracting process, organize and search contracts, collaborate better, and centralize all their legal work. With LinkSquares, legal teams can create, review, manage, and sign contracts, centralize their work and keep projects moving, and get scalability, efficiency, and connectivity.

Octomind is an AI-powered Playwright end-to-end testing tool for web applications. It automatically discovers, generates, and runs tests to find bugs before customers do. With features like auto-generating tests, running tests to find bugs, maintaining tests automatically, debugging apps, and not requiring code access, Octomind offers a seamless testing experience for developers. It provides real-world wins with testimonials from industry professionals and ensures stability, speed, and a better developer experience.

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How2 is an AI tool designed for the Command-Line interface, utilizing AI models to suggest shell commands directly from the Unix Terminal. It offers up to 5 free queries per day and aims to enhance the Command Line experience by providing quick Bash script creation and StackOverflow search capabilities. The tool is focused on improving AI models retrained on Bash/Zsh commands to cater to user needs effectively and safely.

Testsigma is a cloud-based test automation platform that enables teams to create, execute, and maintain automated tests for web, mobile, and API applications. It offers a range of features including natural language processing (NLP)-based scripting, record-and-playback capabilities, data-driven testing, and AI-driven test maintenance. Testsigma integrates with popular CI/CD tools and provides a marketplace for add-ons and extensions. It is designed to simplify and accelerate the test automation process, making it accessible to testers of all skill levels.

Options AI is a revolutionary visual platform for options trading, ETFs, and stock trading. It offers a user-friendly interface that simplifies complex options strategies, making them more accessible to everyday traders. With a team of experienced options experts, Options AI aims to empower traders with advanced trading tools and strategies. The platform provides real-time trade chart zones, industry-leading options experts, and a variety of resources to enhance trading knowledge and skills. Options AI is designed to help traders make smarter trading decisions and navigate the options market with confidence.

Functionary is a language model that interprets and executes functions/plugins. It determines when to execute functions, whether in parallel or serially, and understands their outputs. Function definitions are given as JSON Schema Objects, similar to OpenAI GPT function calls. It offers documentation and examples on functionary.meetkai.com. The newest model, meetkai/functionary-medium-v3.1, is ranked 2nd in the Berkeley Function-Calling Leaderboard. Functionary supports models with different context lengths and capabilities for function calling and code interpretation. It also provides grammar sampling for accurate function and parameter names. Users can deploy Functionary models serverlessly using Modal.com.

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output (objects). It provides a simple yet robust interface and supports llama-cpp-python and OpenAI endpoints with GBNF grammar support (like the llama-cpp-python server) and the llama.cpp backend server. It works by generating a formal GGML-BNF grammar of the user defined structures and functions, which is then used by llama.cpp to generate text valid to that grammar. In contrast to most GBNF grammar generators it also supports nested objects, dictionaries, enums and lists of them.

The fal.ai JS client is a robust and user-friendly library for seamless integration of fal serverless functions in Web, Node.js, and React Native applications. Developed in TypeScript, it provides developers with type safety right from the start. The client library is crafted as a lightweight layer atop platform standards like `fetch`, ensuring hassle-free integration into existing codebases and flawless operation across various JavaScript runtimes. The client proxy feature allows secure handling of credentials by using a server proxy for serverless APIs. The repository also includes example Next.js applications for demonstration and integration.

Ollama is a powerful tool for running large language models locally or on your own infrastructure. It provides a full implementation of the Ollama API, support for streaming requests, and tool use capability. Users can interact with Ollama in Elixir to generate completions, chat messages, and perform streaming requests. The tool also supports function calling on compatible models, allowing users to define tools with clear descriptions and arguments. Ollama is designed to facilitate natural language processing tasks and enhance user interactions with language models.

ShellGPT is a command-line productivity tool powered by AI large language models (LLMs). This command-line tool offers streamlined generation of shell commands, code snippets, documentation, eliminating the need for external resources (like Google search). Supports Linux, macOS, Windows and compatible with all major Shells like PowerShell, CMD, Bash, Zsh, etc.

Empower Functions is a family of large language models (LLMs) that provide GPT-4 level capabilities for real-world 'tool using' use cases. These models offer compatibility support to be used as drop-in replacements, enabling interactions with external APIs by recognizing when a function needs to be called and generating JSON containing necessary arguments based on user inputs. This capability is crucial for building conversational agents and applications that convert natural language into API calls, facilitating tasks such as weather inquiries, data extraction, and interactions with knowledge bases. The models can handle multi-turn conversations, choose between tools or standard dialogue, ask for clarification on missing parameters, integrate responses with tool outputs in a streaming fashion, and efficiently execute multiple functions either in parallel or sequentially with dependencies.

LLM-Zero-to-Hundred is a repository showcasing various applications of LLM chatbots and providing insights into training and fine-tuning Language Models. It includes projects like WebGPT, RAG-GPT, WebRAGQuery, LLM Full Finetuning, RAG-Master LLamaindex vs Langchain, open-source-RAG-GEMMA, and HUMAIN: Advanced Multimodal, Multitask Chatbot. The projects cover features like ChatGPT-like interaction, RAG capabilities, image generation and understanding, DuckDuckGo integration, summarization, text and voice interaction, and memory access. Tutorials include LLM Function Calling and Visualizing Text Vectorization. The projects have a general structure with folders for README, HELPER, .env, configs, data, src, images, and utils.

The 'llm' package for Emacs provides an interface for interacting with Large Language Models (LLMs). It abstracts functionality to a higher level, concealing API variations and ensuring compatibility with various LLMs. Users can set up providers like OpenAI, Gemini, Vertex, Claude, Ollama, GPT4All, and a fake client for testing. The package allows for chat interactions, embeddings, token counting, and function calling. It also offers advanced prompt creation and logging capabilities. Users can handle conversations, create prompts with placeholders, and contribute by creating providers.

Pipecat Flows is a framework designed for building structured conversations in AI applications. It allows users to create both predefined conversation paths and dynamically generated flows, handling state management and LLM interactions. The framework includes a Python module for building conversation flows and a visual editor for designing and exporting flow configurations. Pipecat Flows is suitable for scenarios such as customer service scripts, intake forms, personalized experiences, and complex decision trees.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

GodHook is an Xposed module that integrates various fun features, including automatic replies with support for multiple AI language models, subscription functionality for daily news, inspirational quotes, and weather updates, as well as interface functions to execute host app message functions for operations alerts and data push scenarios. It also offers various other features waiting to be explored. The module is designed for learning and communication purposes only and should not be used for malicious purposes. It requires technical knowledge to configure API model information and aims to lower the technical barrier for wider usage in the future.

TaskWeaver is a code-first agent framework designed for planning and executing data analytics tasks. It interprets user requests through code snippets, coordinates various plugins to execute tasks in a stateful manner, and preserves both chat history and code execution history. It supports rich data structures, customized algorithms, domain-specific knowledge incorporation, stateful execution, code verification, easy debugging, security considerations, and easy extension. TaskWeaver is easy to use with CLI and WebUI support, and it can be integrated as a library. It offers detailed documentation, demo examples, and citation guidelines.

LLM-Assistant is a browser interface based on Gradio that interfaces with local LLMs to call functions and act as a general assistant. It works with any instruct-finetuned LLM, can search for information (RAG), knows when to call functions, has realtime mode for working across the system, and answers questions from PDF files. The tool aims to provide voice access and more functions in the future. Current bugs include rare crashes. Setup involves cloning the repo to a virtual environment, installing requirements, downloading and placing LLM model in the model folder, and running main.py. Usage includes Assistant mode for general chat and calling functions like playing music, as well as Realtime mode for editing documents or replying to emails in real-time.

The `@samchon/openapi` repository is a collection of OpenAPI types and converters for various versions of OpenAPI specifications. It includes an 'emended' OpenAPI v3.1 specification that enhances clarity by removing ambiguous and duplicated expressions. The repository also provides an application composer for LLM (Large Language Model) function calling from OpenAPI documents, allowing users to easily perform LLM function calls based on the Swagger document. Conversions to different versions of OpenAPI documents are also supported, all based on the emended OpenAPI v3.1 specification. Users can validate their OpenAPI documents using the `typia` library with `@samchon/openapi` types, ensuring compliance with standard specifications.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and follows a process of embedding docs and queries, searching for top passages, creating summaries, scoring and selecting relevant summaries, putting summaries into prompt, and generating answers. Users can customize prompts and use various models for embeddings and LLMs. The tool can be used asynchronously and supports adding documents from paths, files, or URLs.

LeRobot is a state-of-the-art AI library for real-world robotics in PyTorch. It aims to provide models, datasets, and tools to lower the barrier to entry to robotics, focusing on imitation learning and reinforcement learning. LeRobot offers pretrained models, datasets with human-collected demonstrations, and simulation environments. It plans to support real-world robotics on affordable and capable robots. The library hosts pretrained models and datasets on the Hugging Face community page.

PentAGI is an innovative tool for automated security testing that leverages cutting-edge artificial intelligence technologies. It is designed for information security professionals, researchers, and enthusiasts who need a powerful and flexible solution for conducting penetration tests. The tool provides secure and isolated operations in a sandboxed Docker environment, fully autonomous AI-powered agent for penetration testing steps, a suite of 20+ professional security tools, smart memory system for storing research results, web intelligence for gathering information, integration with external search systems, team delegation system, comprehensive monitoring and reporting, modern interface, API integration, persistent storage, scalable architecture, self-hosted solution, flexible authentication, and quick deployment through Docker Compose.

LLM Functions is a project that enables the enhancement of large language models (LLMs) with custom tools and agents developed in bash, javascript, and python. Users can create tools for their LLM to execute system commands, access web APIs, or perform other complex tasks triggered by natural language prompts. The project provides a framework for building tools and agents, with tools being functions written in the user's preferred language and automatically generating JSON declarations based on comments. Agents combine prompts, function callings, and knowledge (RAG) to create conversational AI agents. The project is designed to be user-friendly and allows users to easily extend the capabilities of their language models.

Elmer is a user-friendly wrapper over common APIs for calling llm’s, with support for streaming and easy registration and calling of R functions. Users can interact with Elmer in various ways, such as interactive chat console, interactive method call, programmatic chat, and streaming results. Elmer also supports async usage for running multiple chat sessions concurrently, useful for Shiny applications. The tool calling feature allows users to define external tools that Elmer can request to execute, enhancing the capabilities of the chat model.

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