Best AI tools for< Provide Implementation Examples >

BotGPT is a 24/7 custom AI chatbot assistant for websites. It offers a data-driven ChatGPT that allows users to create virtual assistants from their own data. Users can easily upload files or crawl their website to start asking questions and deploy a custom chatbot on their website within minutes. The platform provides a simple and efficient way to enhance customer engagement through AI-powered chatbots.

Kodora AI is a leading AI technology and advisory firm based in Australia, specializing in providing end-to-end AI services. They offer AI strategy development, use case identification, workforce AI training, and more. With a team of expert AI engineers and consultants, Kodora focuses on delivering practical outcomes for clients across various industries. The firm is known for its deep expertise, solution-focused approach, and commitment to driving AI adoption and innovation.

Unless is a conversational AI platform that helps organizations unlock their knowledge and provide better customer support. With Unless, you can train an AI model with your own knowledge base, documents, or website, and then let your customers or team engage in conversations with the AI through various channels. Unless is designed to be easy to use, even for non-technical staff, and it offers a variety of features to help you get the most out of your AI model.

Twig AI is an AI tool designed for Customer Experience, offering an AI assistant that resolves customer issues instantly, supporting both users and support agents 24/7. It provides features like converting user requests into API calls, instant responses for user questions, and factual answers cited with trustworthy sources. Twig simplifies data retrieval from external sources, offers personalization options, and includes a built-in knowledge base. The tool aims to drive agent productivity, provide insights to monitor customer experience, and offers various application interfaces for different user roles.

Help.center is a customer support knowledge base powered by AI that empowers businesses to reduce support tickets significantly and help more customers faster. It offers AI chatbot and knowledge base features to enable self-service for customers, manage customer conversations efficiently, and improve customer satisfaction rates. The application is designed to provide 24x7 support, multilingual assistance, and automatic learning capabilities. Help.center is trusted by over 500 companies and offers a user-friendly interface for easy integration into product ecosystems.

Resonate Growth Agency is a HubSpot Diamond Agency Partner offering a range of services including HubSpot Onboarding, HubSpot Websites, RevOps as a Service, HubSpot Support, and HubSpot Apps. They provide AI-powered tools like AI Studio for HubSpot and 0CodeTools Workflow Extension. The agency helps companies grow by leveraging AI technology and HubSpot integration to enhance sales, marketing, and customer acquisition strategies. With a focus on B2B Tech, Enterprise Software, SaaS, Mobile Apps, Online Education, Insurance, and Fintech industries, Resonate aims to supercharge HubSpot usage for businesses.

Mavenoid is an AI-powered product support tool that offers automated product support services, including product selection advice, troubleshooting solutions, replacement part ordering, and more. The platform is designed to understand complex questions and provide step-by-step instructions to guide users through various product-related processes. Mavenoid is trusted by leading product companies and focuses on resolving customer questions efficiently. The tool optimizes help centers for SEO, offers product insights to increase revenue, and provides support in multiple languages. It is known for reducing incoming inquiries and offering a seamless support experience.

AskJack is an AI-powered HR assistant that automates responses to frequent HR inquiries, freeing HR professionals to focus on strategic initiatives and drive meaningful organizational growth. It integrates with Slack and Teams, allowing employees to self-serve their everyday HR questions, reducing repetitive inquiries and streamlining employee onboarding. AskJack provides data-driven insights into employee queries, helping HR teams understand their needs and improve their knowledge base. With a simple three-step implementation process, AskJack can be up and running in minutes, saving HR professionals time and allowing them to focus on more strategic initiatives.

GPT4oMini.app is an AI tool that offers free chat services powered by GPT-4o-mini. Users can ask any question and receive answers for free on the platform. The tool supports topological sorting in Go using generics and provides a simple implementation of a directed graph. It uses Depth-First Search (DFS) for topological sorting and detects cycles in the graph. GPT4oMini.app also offers assistance with various topics, including love, emoji representation, and adult website suggestions.

Tiledesk is an AI tool that enables users to automate business workflows and operations with customizable AI Agents. It allows users to build autonomous AI Agents to automate customer support and internal processes, enhancing engagement, efficiency, and driving growth. Tiledesk offers features such as no-code implementation, scalability, and a visual AI builder. The application is recommended for various industries, including E-commerce, Healthcare, Financial Services, Telecom, Tourism, Manufacturing, Education, and Professional Services.

ThirdEye Data is a data and AI services & solutions provider that enables enterprises to improve operational efficiencies, increase production accuracies, and make informed business decisions by leveraging the latest Data & AI technologies. They offer services in data engineering, data science, generative AI, computer vision, NLP, and more. ThirdEye Data develops bespoke AI applications using the latest data science technologies to address real-world industry challenges and assists enterprises in leveraging generative AI models to develop custom applications. They also provide AI consulting services to explore potential opportunities for AI implementation. The company has a strong focus on customer success and has received positive reviews and awards for their expertise in AI, ML, and big data solutions.

Refreshworks is an AI business transformation partner based in Den Haag, offering AI consultancy, implementations, and training services. Their goal is to make the working Netherlands a leader in the fourth industrial revolution by identifying implementation opportunities, developing customized plans, and guiding the implementation process with AI as the foundation for further growth. With over 12 years of experience, Refreshworks has helped 300+ companies become leaders and trained 3,500+ professionals in AI technologies. They provide AI business scans, strategy consultancy, custom AI solutions, and implementations, as well as AI training for all teams within an organization.

GPT-4 Consulting is an AI tool designed to provide business advice and consultation services. The platform utilizes advanced AI technology, specifically GPT-4, to offer tailored recommendations and insights for leveraging AI in business operations. Users can book consultations to receive personalized advice on various aspects of their business, from strategy development to implementation of AI solutions. The tool aims to help businesses optimize their processes, enhance decision-making, and stay competitive in the rapidly evolving digital landscape.

Aptitude8™ is an AI tool that offers services in marketing, sales, CMS implementation, HubSpot integration, and various other areas. The tool leverages AI to provide solutions for revenue operations, web operations, custom CRM development, and more. It features podcasts with industry experts discussing AI in sales, marketing, and business operations. Aptitude8™ aims to help businesses optimize their operations and drive growth through AI-powered strategies and tools.

Wolfram is a comprehensive platform that unifies algorithms, data, notebooks, linguistics, and deployment to provide a powerful computation platform. It offers a range of products and services for various industries, including education, engineering, science, and technology. Wolfram is known for its revolutionary knowledge-based programming language, Wolfram Language, and its flagship product Wolfram|Alpha, a computational knowledge engine. The platform also includes Wolfram Cloud for cloud-based services, Wolfram Engine for software implementation, and Wolfram Data Framework for real-world data analysis.

Yep AI is an AI-powered platform that offers digital human solutions to businesses, allowing them to enhance customer engagement, optimize product recommendations, and provide personalized shopping experiences. The platform enables users to create their own personalized AI avatars to provide real-time assistance to customers. With seamless implementation and advanced artificial intelligence capabilities, Yep AI aims to revolutionize customer service and boost conversions for businesses across various industries.

Kamara is an AI-powered coder that functions as a VS Code extension. It adapts to your codebase, effortlessly implementing features across multiple files. Kamara works best with short files and specific implementation ideas. It uses a credit-based system for payment, where users pay for the code read and written. The team actively working on Kamara includes Gonza Nardini and Diego Vazquez. Users can provide feedback and join the Discord server for support.

Marketing AI Institute is a media, event, and online education company that focuses on making artificial intelligence approachable and accessible to marketing and business leaders worldwide. Since 2016, the institute has been publishing articles, tracking and analyzing AI-powered vendors, and partnering with top AI-first companies to provide exclusive insights on AI adoption and implementation in marketing. The institute aims to help marketers understand, pilot, and scale AI to create a competitive advantage for their businesses and careers.

BRACAI AI Consulting Services is a platform that offers AI consulting services to businesses looking to leverage artificial intelligence to improve productivity, reduce costs, and boost efficiency. The platform helps companies identify AI use cases, develop AI solutions, and provide training to ensure successful AI transformation. With a focus on simplifying AI for businesses, BRACAI aims to help organizations navigate the path to AI adoption and implementation.

New Horizon is an AI-powered supply chain planning software that offers a comprehensive planning suite for manufacturers, wholesalers, and retailers. It leverages AI, Machine Learning, and cloud technologies to provide better visibility into demand, accurate forecasts, and more agile supply chains. The platform features an intuitive user experience, fast implementation, and industry-specific functionality like optimized truck loading and investment buying. New Horizon aims to help companies build more resilient and responsive supply chains while maximizing productivity and adoption.

The 'ailab' project is an experimental ground for code generation combining AI (especially coding agents) and Deno. It aims to manage configuration files defining coding rules and modes in Deno projects, enhancing the quality and efficiency of code generation by AI. The project focuses on defining clear rules and modes for AI coding agents, establishing best practices in Deno projects, providing mechanisms for type-safe code generation and validation, applying test-driven development (TDD) workflow to AI coding, and offering implementation examples utilizing design patterns like adapter pattern.

RA.Aid is an AI software development agent powered by `aider` and advanced reasoning models like `o1`. It combines `aider`'s code editing capabilities with LangChain's agent-based task execution framework to provide an intelligent assistant for research, planning, and implementation of multi-step development tasks. It handles complex programming tasks by breaking them down into manageable steps, running shell commands automatically, and leveraging expert reasoning models like OpenAI's o1. RA.Aid is designed for everyday software development, offering features such as multi-step task planning, automated command execution, and the ability to handle complex programming tasks beyond single-shot code edits.

LLM-Planner is a tool for few-shot grounded planning for embodied agents using large language models. It includes a high-level prompt generator and kNN dataset, allowing users to generate high-level plans for tasks by bringing their low-level controller and an LLM. The tool has been used in various research projects and provides implementation examples from different conferences. Users can cite the tool using the provided information and the tool is available under the MIT License. For questions or issues, users can contact Luke Song.

This project is an LLM-based Advanced Prompt Generator designed to automate the process of prompt engineering by enhancing given input prompts using large language models (LLMs). The tool can generate advanced prompts with minimal user input, leveraging LLM agents for optimized prompt generation. It supports gpt-4o or gpt-4o-mini, offers FastAPI & Docker deployment for efficiency, provides a Gradio interface for easy testing, and is hosted on Hugging Face Spaces for quick demos. Users can expand model support to offer more variety and flexibility.

AdaSociety is a multi-agent environment designed for simulating social structures and decision-making processes. It offers built-in resources, events, and player interactions. Users can customize the environment through JSON configuration or custom Python code. The environment supports training agents using RLlib and LLM frameworks. It provides a platform for studying multi-agent systems and social dynamics.

MCP Go is a Go implementation of the Model Context Protocol (MCP), facilitating seamless integration between LLM applications and external data sources and tools. It handles complex protocol details and server management, allowing developers to focus on building tools. The tool is designed to be fast, simple, and complete, aiming to provide a high-level and easy-to-use interface for developing MCP servers. MCP Go is currently under active development, with core features working and advanced capabilities in progress.

llm-rankers is a repository that provides implementations for Pointwise, Listwise, Pairwise, and Setwise Document Ranking using Large Language Models. It includes various methods for reranking documents retrieved by a first-stage retriever, such as BM25. The repository offers examples and code snippets for using LLMs to improve document ranking performance in information retrieval tasks. Additionally, it introduces a new setwise reranker called Rank-R1 with reasoning ability.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

Open Assistant API is an open-source, self-hosted AI intelligent assistant API compatible with the official OpenAI interface. It supports integration with more commercial and private models, R2R RAG engine, internet search, custom functions, built-in tools, code interpreter, multimodal support, LLM support, and message streaming output. Users can deploy the service locally and expand existing features. The API provides user isolation based on tokens for SaaS deployment requirements and allows integration of various tools to enhance its capability to connect with the external world.

ActionWeaver is an AI application framework designed for simplicity, relying on OpenAI and Pydantic. It supports both OpenAI API and Azure OpenAI service. The framework allows for function calling as a core feature, extensibility to integrate any Python code, function orchestration for building complex call hierarchies, and telemetry and observability integration. Users can easily install ActionWeaver using pip and leverage its capabilities to create, invoke, and orchestrate actions with the language model. The framework also provides structured extraction using Pydantic models and allows for exception handling customization. Contributions to the project are welcome, and users are encouraged to cite ActionWeaver if found useful.

Eino is an ultimate LLM application development framework in Golang, emphasizing simplicity, scalability, reliability, and effectiveness. It provides a curated list of component abstractions, a powerful composition framework, meticulously designed APIs, best practices, and tools covering the entire development cycle. Eino standardizes and improves efficiency in AI application development by offering rich components, powerful orchestration, complete stream processing, highly extensible aspects, and a comprehensive framework structure.

This project is a tutorial on developing large model applications for novice developers. It aims to provide a comprehensive introduction to large model development, focusing on Alibaba Cloud servers and integrating personal knowledge assistant projects. The tutorial covers the following topics: 1. **Introduction to Large Models**: A simplified introduction for novice developers on what large models are, their characteristics, what LangChain is, and how to develop an LLM application. 2. **How to Call Large Model APIs**: This section introduces various methods for calling APIs of well-known domestic and foreign large model products, including calling native APIs, encapsulating them as LangChain LLMs, and encapsulating them as Fastapi calls. It also provides a unified encapsulation for various large model APIs, such as Baidu Wenxin, Xunfei Xinghuo, and Zh譜AI. 3. **Knowledge Base Construction**: Loading, processing, and vector database construction of different types of knowledge base documents. 4. **Building RAG Applications**: Integrating LLM into LangChain to build a retrieval question and answer chain, and deploying applications using Streamlit. 5. **Verification and Iteration**: How to implement verification and iteration in large model development, and common evaluation methods. The project consists of three main parts: 1. **Introduction to LLM Development**: A simplified version of V1 aims to help beginners get started with LLM development quickly and conveniently, understand the general process of LLM development, and build a simple demo. 2. **LLM Development Techniques**: More advanced LLM development techniques, including but not limited to: Prompt Engineering, processing of multiple types of source data, optimizing retrieval, recall ranking, Agent framework, etc. 3. **LLM Application Examples**: Introduce some successful open source cases, analyze the ideas, core concepts, and implementation frameworks of these application examples from the perspective of this course, and help beginners understand what kind of applications they can develop through LLM. Currently, the first part has been completed, and everyone is welcome to read and learn; the second and third parts are under creation. **Directory Structure Description**: requirements.txt: Installation dependencies in the official environment notebook: Notebook source code file docs: Markdown documentation file figures: Pictures data_base: Knowledge base source file used

mcpdotnet is a .NET implementation of the Model Context Protocol (MCP), facilitating connections and interactions between .NET applications and MCP clients and servers. It aims to provide a clean, specification-compliant implementation with support for various MCP capabilities and transport types. The library includes features such as async/await pattern, logging support, and compatibility with .NET 8.0 and later. Users can create clients to use tools from configured servers and also create servers to register tools and interact with clients. The project roadmap includes expanding documentation, increasing test coverage, adding samples, performance optimization, SSE server support, and authentication.

AQLM is the official PyTorch implementation for Extreme Compression of Large Language Models via Additive Quantization. It includes prequantized AQLM models without PV-Tuning and PV-Tuned models for LLaMA, Mistral, and Mixtral families. The repository provides inference examples, model details, and quantization setups. Users can run prequantized models using Google Colab examples, work with different model families, and install the necessary inference library. The repository also offers detailed instructions for quantization, fine-tuning, and model evaluation. AQLM quantization involves calibrating models for compression, and users can improve model accuracy through finetuning. Additionally, the repository includes information on preparing models for inference and contributing guidelines.

AgentConnect is an open-source implementation of the Agent Network Protocol (ANP) aiming to define how agents connect with each other and build an open, secure, and efficient collaboration network for billions of agents. It addresses challenges like interconnectivity, native interfaces, and efficient collaboration. The architecture includes authentication, end-to-end encryption modules, meta-protocol module, and application layer protocol integration framework. AgentConnect focuses on performance and multi-platform support, with plans to rewrite core components in Rust and support mobile platforms and browsers. The project aims to establish ANP as an industry standard and form an ANP Standardization Committee. Installation is done via 'pip install agent-connect' and demos can be run after cloning the repository. Features include decentralized authentication based on did:wba and HTTP, and meta-protocol negotiation examples.

Beelzebub is an advanced honeypot framework designed to provide a highly secure environment for detecting and analyzing cyber attacks. It offers a low code approach for easy implementation and utilizes virtualization techniques powered by OpenAI Generative Pre-trained Transformer. Key features include OpenAI Generative Pre-trained Transformer acting as Linux virtualization, SSH Honeypot, HTTP Honeypot, TCP Honeypot, Prometheus openmetrics integration, Docker integration, RabbitMQ integration, and kubernetes support. Beelzebub allows easy configuration for different services and ports, enabling users to create custom honeypot scenarios. The roadmap includes developing Beelzebub into a robust PaaS platform. The project welcomes contributions and encourages adherence to the Code of Conduct for a supportive and respectful community.

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.

Hailo TAPPAS is a set of full application examples that implement pipeline elements and pre-trained AI tasks. It demonstrates Hailo's system integration scenarios on predefined systems, aiming to accelerate time to market, simplify integration with Hailo's runtime SW stack, and provide a starting point for customers to fine-tune their applications. The tool supports both Hailo-15 and Hailo-8, offering various example applications optimized for different common hosts. TAPPAS includes pipelines for single network, two network, and multi-stream processing, as well as high-resolution processing via tiling. It also provides example use case pipelines like License Plate Recognition and Multi-Person Multi-Camera Tracking. The tool is regularly updated with new features, bug fixes, and platform support.

SambaNova AI Starter Kits is a collection of open-source examples and guides designed to facilitate the deployment of AI-driven use cases for developers and enterprises. The kits cover various categories such as Data Ingestion & Preparation, Model Development & Optimization, Intelligent Information Retrieval, and Advanced AI Capabilities. Users can obtain a free API key using SambaNova Cloud or deploy models using SambaStudio. Most examples are written in Python but can be applied to any programming language. The kits provide resources for tasks like text extraction, fine-tuning embeddings, prompt engineering, question-answering, image search, post-call analysis, and more.

First discusses assistant details, then implements tailored code solutions.

Professional CRM expert offering insights into software and implementation.

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Guides the development and implementation of IT systems architecture.

Consultor especializado em SAP ECC 6

Guides in designing, implementing, and maintaining technical architecture.

provide a number ,you will find the answer

Provide a prompt followed by multiple participant responses from chatHub delimited by name, or a list of phrase pairs to combine.

Provide the information about each receipt from your shopping.

Spiritual Advisor (1917 Tanakh) draws from the 1917 Tanakh to provide advise and guidance on all of life's difficulties.

Provide your topics, and receive formal, academic assistance in crafting research titles.

Provide TOPIC & different views to compare: Gateway to Informed Comparisons. Harness AI-powered insights to analyze and score different viewpoints on any topic, delivering balanced, data-driven perspectives for smarter decision-making.

Provide a Topic and an Audience and we'll help you create 1. Course description 2. Outline 3. Learning Outcomes 5. Skills-Knowledge-Attitude objectives 5. Key points per lesson

Provide the name, author and genre of a song and the genre you want it re-imagined to. User Prompt: Enter the name of a song, artist, current genre, and the genre you want.

Provide some Traditional Chinese Medicine(中医) advice. For educational purposes only, not to be used for actual treatment.

Provide a URL and this tool will provide you with 5 quick on-page optimisations to help web rankings and boost traffic.

Provide OSINT report on a Person/Company

Provide a hand-drawing or screenshot of your desired plot along with the data and I'll make the plot.

Provide podcast name and episode or Spotify URL. Get key quotes. Ask questions.

I provide the latest news.