Best AI tools for< Ai Implementer >

Pareto® - Tess AI is a global generative AI leader for companies, offering a platform that provides safe, affordable, and fast AI adoption for businesses. It offers a wide range of AI services for marketing, customer service, HR, sales, and finance, as well as tools for content creation, market analysis, and more. With Tess AI, companies can access a diverse ecosystem of technology and generative AI firms, boosting brand growth and sales through innovative AI solutions.

ISMS Copilot is an AI-powered assistant designed to simplify ISO 27001 preparation for both experts and beginners. It offers various features such as ISMS scope definition, risk assessment and treatment, compliance navigation, incident management, business continuity planning, performance tracking, and more. The tool aims to save time, provide precise guidance, and ensure ISO 27001 compliance. With a focus on security and confidentiality, ISMS Copilot is a valuable resource for small businesses and information security professionals.

Qlerify is an AI-powered software modeling tool that helps digital transformation teams accelerate the digitalization of enterprise business processes. It allows users to quickly create workflows with AI, generate source code in minutes, and reuse actionable models in various formats. Qlerify supports powerful frameworks like Event Storming, Domain Driven Design, and Business Process Modeling, providing a user-friendly interface for collaborative modeling.

Pornpen.ai is an AI tool that utilizes artificial intelligence technology to provide a platform for generating and analyzing pornographic content. The website offers various features for users to explore and interact with AI-generated adult content. Users can access a wide range of functionalities related to adult entertainment through the AI algorithms implemented on the platform.

Vee is an intelligent conversational AI tool that serves as a virtual consultant for businesses. It leverages groundbreaking artificial intelligence technology to automate telephone client service processes and enhance business efficacy. Vee has a rich experience in completing a wide range of client support processes, from helpline services to mass outbound campaigns. The application has already interacted with millions of people and effectively implemented business processes for numerous companies across various industries.

Cohere is a customer support platform that uses AI to help businesses resolve tickets faster and reduce costs. It offers a range of features, including automated ticket resolution, personalized answers, step-by-step guidance, and advanced analytics. Cohere integrates with existing support resources and can be implemented quickly and easily. It has been used by leading companies to achieve industry-leading outcomes, including Ramp, Loom, Rippling, OpenPhone, Flock Safety, and Podium.

SupportLogic is a Support Experience Management Platform that uses AI to help businesses improve their customer support operations. It offers a range of features, including sentiment analysis, backlog management, intelligent case routing, proactive alerts, swarming and collaboration, account health management, customer support analytics, text analytics, SLA/SLO management, quality monitoring and coaching, agent productivity, and translation. SupportLogic integrates with existing ticketing systems and apps, and can be implemented within 45 days.

deepsense.ai is an Artificial Intelligence Development Company that offers AI Guidance and Implementation Services across various industries such as Retail, Manufacturing, Financial Services, IT Operations, TMT, Medical & Beauty. The company provides Generative AI Solution Center resources to help plan and implement AI solutions. With a focus on AI vision, solutions, and products, deepsense.ai leverages its decade of AI experience to accelerate AI implementation for businesses.

Aicado.ai is an AI Implementation Hub designed for non-technical users. It provides a user-friendly platform for individuals and businesses to implement AI solutions without the need for technical expertise. The platform offers a range of tools and resources to guide users through the process of integrating AI into their operations, making it accessible and easy to use for all. With Aicado.ai, users can harness the power of AI to enhance decision-making, automate processes, and drive innovation in their organizations.

Winder.ai is an award-winning Enterprise AI Agency that specializes in AI development, consulting, and product development. They have expertise in Reinforcement Learning, MLOps, and Data Science, offering services to help businesses automate processes, scale products, and unlock new markets. With a focus on delivering AI solutions at scale, Winder.ai collaborates with clients globally to enhance operational efficiency and drive innovation through AI technologies.

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.

NexaQuanta is an AI consulting and implementation service provider that helps businesses transform their processes and software applications using advanced Generative AI technologies in a responsible, safe, and cost-effective manner. The company offers expert consulting services, custom AI software development, and dedicated software teams to deliver innovative AI solutions tailored to meet the unique needs of businesses across various industries. NexaQuanta is committed to Responsible AI Framework and invests significantly in research and development to ensure data privacy, security, and inclusivity in their AI solutions.

Health AI Partnership (HAIP) is an AI tool designed to empower healthcare professionals to effectively, safely, and equitably use AI through community-informed up-to-date standards. The platform offers resources, publications, events, and a practice network to advance the use of AI in healthcare and support professionals in implementing AI solutions.

The website is an AI Sales Trainer Consultant that helps ambitious organizations unleash the power of AI. It offers insights on how AI can impact industries, organizations, and people. The platform assists in upskilling talent, boosting revenue, and staying ahead of competitors through the strategic integration of AI in sales processes. It emphasizes the importance of embracing innovation, shaping industries, and providing unmatched customer experiences through personalized AI-driven solutions.

STELLARWITS is an AI solutions and software platform that empowers users to explore cutting-edge technology and innovation. The platform offers AI models with versatile capabilities, ranging from content generation to data analysis to problem-solving. Users can engage directly with the technology, experiencing its power in real-time. With a focus on transforming ideas into technology, STELLARWITS provides tailored solutions in software and AI development, delivering intelligent systems and machine learning models for innovative and efficient solutions. The platform also features a download hub with a curated selection of solutions to enhance the digital experience. Through blogs and company information, users can delve deeper into the narrative of STELLARWITS, exploring its mission, vision, and commitment to reshaping the tech landscape.

AI Pay is a tool that enables websites to implement AI and pass on the costs to the users of the website. Users can access AI features through the AI Pay browser extension. The tool allows websites to monetize by receiving a portion of the users' AI Pay usage cost. It offers features like starting a new session, open-source GPT apps deployment, chat bot developer documentation, and monetizing websites with optional AI features.

AI Mindset is a platform created by Conor Grennan that focuses on helping individuals and organizations understand and implement generative AI technologies. The platform offers insights, strategies, and news related to AI, along with training courses and resources to unlock the power of generative AI. Conor Grennan, a renowned expert in the field, has trained thousands of leaders and collaborated with prestigious organizations worldwide to drive innovation through AI solutions.

Ultimate is a customer support automation platform powered by Generative AI. It offers AI-powered chat automation and ticket automation solutions for various industries such as Ecommerce, Financial Services, Travel, Telecommunications, and Healthtech. UltimateGPT is a bot that integrates with help centers to build bots in minutes. The platform provides backend integrations, analytics, and insights to enhance customer support processes and drive business growth.

Tribe AI is a modern consultancy specializing in AI, data, and machine learning, helping organizations leverage artificial intelligence. The platform offers bespoke AI solutions, advisory services, and GenAI acceleration to unlock the potential of cutting-edge technology. Tribe AI connects top AI talent with companies across various industries, such as healthcare, venture capital, insurance, private equity, and technology, to optimize operations and drive innovation. The platform also features a network of experienced AI researchers, data scientists, ML engineers, and AI fairness experts, ensuring high-quality and secure AI solutions for clients.

Dan Rose AI is a platform focused on applied artificial intelligence, providing insights and strategies on how AI can be utilized in the present time for real value. The website features blog posts, speaking engagements, and consulting services related to AI applications and strategies. Dan Rose Johansen, the founder, emphasizes practical approaches to AI implementation and its strategic use.

Swiftide is a fast, streaming indexing and query library tailored for Retrieval Augmented Generation (RAG) in AI applications. It is built in Rust, utilizing parallel, asynchronous streams for blazingly fast performance. With Swiftide, users can easily build AI applications from idea to production in just a few lines of code. The tool addresses frustrations around performance, stability, and ease of use encountered while working with Python-based tooling. It offers features like fast streaming indexing pipeline, experimental query pipeline, integrations with various platforms, loaders, transformers, chunkers, embedders, and more. Swiftide aims to provide a platform for data indexing and querying to advance the development of automated Large Language Model (LLM) applications.

The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.

This repository contains a collection of AI projects implemented in Python, primarily in Jupyter notebooks. The projects cover various aspects of artificial intelligence, including machine learning, deep learning, natural language processing, computer vision, and more. Each project is designed to showcase different AI techniques and algorithms, providing a hands-on learning experience for users interested in exploring the field of artificial intelligence.

WrenAI is a data assistant tool that helps users get results and insights faster by asking questions in natural language, without writing SQL. It leverages Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) technology to enhance comprehension of internal data. Key benefits include fast onboarding, secure design, and open-source availability. WrenAI consists of three core services: Wren UI (intuitive user interface), Wren AI Service (processes queries using a vector database), and Wren Engine (platform backbone). It is currently in alpha version, with new releases planned biweekly.

ai-notebooks is a repository containing a collection of simple machine learning algorithms implemented in Python 3, TensorFlow 2, PyTorch, and Keras. The repository is designed for easy viewing on GitHub. Users can request notebook experiments by filing an issue for consideration.

The 'ai-by-hand-excel' repository is a collection of AI exercises that can be implemented manually using Excel. It includes both basic and advanced topics such as Softmax, LeakyReLU, Backpropagation, Transformer, RNN, and Mamba. The repository aims to provide hands-on experience and understanding of AI concepts through practical Excel exercises.

A bot that plays Tetris using deep reinforcement learning. The agent learns to play by training itself with a neural network and Q Learning algorithm. It explores different 'paths' to achieve higher scores and makes decisions based on predicted scores for possible moves. The game state includes attributes like lines cleared, holes, bumpiness, and total height. The agent is implemented in Python using Keras framework with a deep neural network structure. Training involves a replay queue, random sampling, and optimization techniques. Results show the agent's progress in achieving higher scores over episodes.

Vercel AI Provider for running Large Language Models locally using Ollama. This module is under development and may contain errors and frequent incompatible changes. It provides the capability of generating and streaming text and objects, with features like image input, object generation, tool usage simulation, tool streaming simulation, intercepting fetch requests, and provider management. The provider can be customized with optional settings like baseURL and headers.

The Spring AI project provides a Spring-friendly API and abstractions for developing AI applications. It offers a portable client API for interacting with generative AI models, enabling developers to easily swap out implementations and access various models like OpenAI, Azure OpenAI, and HuggingFace. Spring AI also supports prompt engineering, providing classes and interfaces for creating and parsing prompts, as well as incorporating proprietary data into generative AI without retraining the model. This is achieved through Retrieval Augmented Generation (RAG), which involves extracting, transforming, and loading data into a vector database for use by AI models. Spring AI's VectorStore abstraction allows for seamless transitions between different vector database implementations.

AI Commits is a plugin for IntelliJ-based IDEs and Android Studio that generates commit messages using git diff and OpenAI. It offers features such as generating commit messages from diff using OpenAI API, computing diff only from selected files and lines in the commit dialog, creating custom prompts for commit message generation, using predefined variables and hints to customize prompts, choosing any of the models available in OpenAI API, setting OpenAI network proxy, and setting custom OpenAI compatible API endpoint.

OpenDAN is an open source Personal AI OS that consolidates various AI modules for personal use. It empowers users to create powerful AI agents like assistants, tutors, and companions. The OS allows agents to collaborate, integrate with services, and control smart devices. OpenDAN offers features like rapid installation, AI agent customization, connectivity via Telegram/Email, building a local knowledge base, distributed AI computing, and more. It aims to simplify life by putting AI in users' hands. The project is in early stages with ongoing development and future plans for user and kernel mode separation, home IoT device control, and an official OpenDAN SDK release.

The Radicalbit AI Monitoring Platform provides a comprehensive solution for monitoring Machine Learning and Large Language models in production. It helps proactively identify and address potential performance issues by analyzing data quality, model quality, and model drift. The repository contains files and projects for running the platform, including UI, API, SDK, and Spark components. Installation using Docker compose is provided, allowing deployment with a K3s cluster and interaction with a k9s container. The platform documentation includes a step-by-step guide for installation and creating dashboards. Community engagement is encouraged through a Discord server. The roadmap includes adding functionalities for batch and real-time workloads, covering various model types and tasks.

SPEAR (Simulator for Photorealistic Embodied AI Research) is a powerful tool for training embodied agents. It features 300 unique virtual indoor environments with 2,566 unique rooms and 17,234 unique objects that can be manipulated individually. Each environment is designed by a professional artist and features detailed geometry, photorealistic materials, and a unique floor plan and object layout. SPEAR is implemented as Unreal Engine assets and provides an OpenAI Gym interface for interacting with the environments via Python.

Sirji is an agentic AI framework for software development where various AI agents collaborate via a messaging protocol to solve software problems. It uses standard or user-generated recipes to list tasks and tips for problem-solving. Agents in Sirji are modular AI components that perform specific tasks based on custom pseudo code. The framework is currently implemented as a Visual Studio Code extension, providing an interactive chat interface for problem submission and feedback. Sirji sets up local or remote development environments by installing dependencies and executing generated code.

Mentals AI is a tool designed for creating and operating agents that feature loops, memory, and various tools, all through straightforward markdown syntax. This tool enables you to concentrate solely on the agent’s logic, eliminating the necessity to compose underlying code in Python or any other language. It redefines the foundational frameworks for future AI applications by allowing the creation of agents with recursive decision-making processes, integration of reasoning frameworks, and control flow expressed in natural language. Key concepts include instructions with prompts and references, working memory for context, short-term memory for storing intermediate results, and control flow from strings to algorithms. The tool provides a set of native tools for message output, user input, file handling, Python interpreter, Bash commands, and short-term memory. The roadmap includes features like a web UI, vector database tools, agent's experience, and tools for image generation and browsing. The idea behind Mentals AI originated from studies on psychoanalysis executive functions and aims to integrate 'System 1' (cognitive executor) with 'System 2' (central executive) to create more sophisticated agents.

This repository contains scripts and tools for evaluating a chat app that uses the RAG architecture. It provides parameters to assess the quality and style of answers generated by the chat app, including system prompt, search parameters, and GPT model parameters. The tools facilitate running evaluations, with examples of evaluations on a sample chat app. The repo also offers guidance on cost estimation, setting up the project, deploying a GPT-4 model, generating ground truth data, running evaluations, and measuring the app's ability to say 'I don't know'. Users can customize evaluations, view results, and compare runs using provided tools.

AWS AI Stack is a full-stack boilerplate project designed for building serverless AI applications on AWS. It provides a trusted AWS foundation for AI apps with access to powerful LLM models via Bedrock. The architecture is serverless, ensuring cost-efficiency by only paying for usage. The project includes features like AI Chat & Streaming Responses, Multiple AI Models & Data Privacy, Custom Domain Names, API & Event-Driven architecture, Built-In Authentication, Multi-Environment support, and CI/CD with Github Actions. Users can easily create AI Chat bots, authentication services, business logic, and async workers using AWS Lambda, API Gateway, DynamoDB, and EventBridge.

Local Multimodal AI Chat is a multimodal chat application that integrates various AI models to manage audio, images, and PDFs seamlessly within a single interface. It offers local model processing with Ollama for data privacy, integration with OpenAI API for broader AI capabilities, audio chatting with Whisper AI for accurate voice interpretation, and PDF chatting with Chroma DB for efficient PDF interactions. The application is designed for AI enthusiasts and developers seeking a comprehensive solution for multimodal AI technologies.

OpenAI for Workers AI is a simple, quick, and dirty implementation of OpenAI's API on Cloudflare's new Workers AI platform. It allows developers to use the OpenAI SDKs with the new LLMs without having to rewrite all of their code. The API currently supports completions, chat completions, audio transcription, embeddings, audio translation, and image generation. It is not production ready but will be semi-regularly updated with new features as they roll out to Workers AI.

claude-api is a web conversation library for ClaudeAI implemented in GoLang. It provides functionalities to interact with ClaudeAI for web-based conversations. Users can easily integrate this library into their Go projects to enable chatbot capabilities and handle conversations with ClaudeAI. The library includes features for sending messages, receiving responses, and managing chat sessions, making it a valuable tool for developers looking to incorporate AI-powered chatbots into their applications.

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Guide on AI implementation for secure data, with a focus on best practices and tools.

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Guides in creating a basic RPG game in Unreal Engine from scratch.

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