Best AI tools for< Train Ai Agents >

ResolveAI is a platform that allows users to create and train AI agents for customer service. These agents can be used to automate tasks such as answering FAQs, scheduling meetings, and collecting leads. ResolveAI's agents are trained using a variety of sources, including documents, website pages, and live data sources. Once trained, agents can be customized to fit the user's brand and integrated with a variety of platforms, including websites, social media, and messaging apps.

Orimon AI is a conversational marketing tool that helps businesses engage with their customers through AI-powered chatbots. The platform offers tips and tricks to convert visitors into paying customers, train AI agents, and customize chatbot personalities. With a focus on conversational marketing, Orimon AI aims to enhance customer experience and boost sales for service, e-commerce, and SaaS businesses.

Cubeo AI is a no-code AI Assistant builder that allows users to create their own AI Team with diverse capabilities. Users can build AI Agents for various tasks like research, content creation, talent acquisition, and more. The platform offers pre-built AI Agents and the ability to customize AI Assistants using different formats like PDFs, Docx, MP3s, and videos. Cubeo AI aims to streamline business operations, boost productivity, and enhance customer engagement through automated solutions.

Aide is an AI platform designed to enhance customer support operations. It offers a range of features to help businesses gain insights into customer needs, automate support processes, improve agent efficiency, and train AI chatbots. Aide's key capabilities include customer insights, workflow automation, agent assist, and AI chatbots. With Aide, businesses can analyze customer conversations, identify pain points, and automate repetitive tasks to streamline support operations and improve customer satisfaction.

Kong.ai is an AI-powered platform offering Conversational Chatbots and AI Agents to automate and streamline various business operations such as customer support, sales, HR, and marketing workflows. The platform leverages state-of-the-art language models and machine learning to provide natural and intelligent conversations. Kong.ai provides specialized AI Agents for tasks like lead generation, social media management, recruitment, and more, helping businesses enhance efficiency and productivity.

Azara.AI is an AI tool that automates workflows, saving hours and enabling fast scaling. It allows users to handle tasks with the help of AI-generated workflows and actions. The tool offers no-code automations with secure, encrypted, and compliant features. Users can easily build automations from private company data, enhancing productivity and efficiency. Azara.AI simplifies the process of building, deploying, and managing AI agents without requiring technical expertise.

SuperAGI is a leading research organization focused on Generalized Super Intelligence. They work on research in technical areas such as Neurosymbolic AI, Autonomous Agents & Multi-Agent Systems, New Model Architectures, System 2 Thinking, Recursive Self-Improving Systems, and other socio-economic super AGI-related topics such as Digital Workforce, Algorithmic Governance, UBI, etc.

Threado is an AI application designed for customer service, offering AI agents trained on internal knowledge to provide instant, automated support to customers and internal teams. It integrates effortlessly into daily tools like Slack and Microsoft Teams, allowing users to access company information instantly. Threado AI helps resolve customer queries, automate chat support, personalize customer engagement, accelerate sales processes, and transform how customer-facing teams find information and get work done.

re:tune is a no-code AI app solution that provides everything you need to transform your business with AI, from custom chatbots to autonomous agents. With re:tune, you can build chatbots for any use case, connect any data source, and integrate with all your favorite tools and platforms. re:tune is the missing platform to build your AI apps.

MindPal is an AI application that empowers users to build their AI workforce to automate tasks and workflows. It offers a wide range of features to streamline processes and enhance productivity. Users can create specialized AI agents, train them with their own data, and connect them to various tools. MindPal is recommended by professionals for its efficiency in automating tasks and generating valuable insights.

IntegraBot is an advanced AI platform that allows users to develop AI chatbots without coding. Users can choose from different AI models, integrate tools and APIs, and train their agents with company data. The platform offers features like creating custom tools, importing data, and integrating with various applications. IntegraBot ensures data security, compliance with regulations, and provides best practices for AI usage.

RoboResponseAI is a proactive AI chatbot customized for businesses, designed to initiate conversations, take feedback, and drive lead conversions. It offers features such as lead conversion guidance, recruitment assistance, quick chatbot training, interactive ad campaigns, and seamless integration with various platforms. The application aims to enhance customer engagement, streamline support processes, and improve lead generation for businesses of all types.

SymTrain is an AI-powered platform that automates training and coaching for contact center agents. By utilizing simulations and AI technology, SymTrain offers a cost-effective solution that enhances agent performance, reduces training time, and improves overall customer satisfaction. The platform provides automated role-play scenarios, consistent feedback, and data-driven coaching to help organizations streamline their training processes and achieve better results. SymTrain revolutionizes how companies train and coach their agents, leading to increased efficiency, revenue, and customer satisfaction.

Knowmax is an omnichannel knowledge management platform that helps businesses improve customer experience (CX) by providing AI-powered knowledge management capabilities. It offers a range of features such as a Google-like search engine for accessing relevant knowledge across touchpoints, no-code cognitive decision trees for creating simple and mistake-proof customer service actions, visual how-to guides for minimizing repetitive explanations, and an omnichannel-ready knowledge base for creating self-help guides. Knowmax also integrates with CRM systems to deliver faster and personalized resolutions at scale. It is used by businesses in various industries, including telecom, banking, BPO, insurance, e-commerce, media & ISP, healthcare, travel, automobiles, and utilities.

Newo is a revolutionary platform that empowers businesses to create personalized Non-Human Workers (Digital Employees) known as Newo Intelligent Agents. These agents are equipped with Emotional and Conscious behavior, capable of selling products, assisting clients, coaching, training, and consulting. Users can easily create their own agents without any coding knowledge, leveraging them to captivate customers, boost sales, and enhance customer satisfaction. Newo Intelligent Agents can be seamlessly integrated into corporate systems like ERPs, CRMs, and knowledge bases, ensuring they align with corporate guidelines and provide personalized interactions with clients.

My AskAI is an affordable Zendesk AI alternative that provides AI customer support solutions. It aims to help businesses enhance their customer support efficiency by deflecting up to 75% of customer support requests with AI technology. The tool is 5-10 times cheaper than Zendesk's AI features, offering cost-effective AI resolution at only $0.10 per conversation. My AskAI seamlessly integrates with Zendesk's App Marketplace, allowing businesses to set up AI support agent quickly without the need for extensive training or system replacement. The tool also emphasizes the importance of human touch in customer support, enabling a smooth AI + Human customer support experience.

AGENT is an AI chatbot powered by OpenAI and Anthropic, designed to handle customer inquiries, qualify leads, and enhance customer engagement. Developed by I Need Leads Ltd, AGENT combines advanced natural language processing, intelligent chatbots, and machine learning to empower businesses of all sizes in generating and managing leads efficiently. The platform adapts, learns, and grows with businesses, ensuring they stay ahead in the competitive digital landscape.

BrainyBear is an AI tool that allows users to easily build and train AI chatbots and intelligent assistants. It offers a quick and accurate solution to customer queries by scanning websites or uploaded files. With BrainyBear, users can create, customize, and embed AI chatbots in just a few steps, without the need for complex training or setups. The tool leverages GPT-based AI technology to provide human-like interactions, multilingual support, and seamless integrations with popular messaging platforms.

SupBot is an AI-powered support solution that enables businesses to handle customer support instantly. It offers the ability to train and deploy AI support bots with ease, allowing for seamless integration into any website. With a user-friendly interface, SupBot simplifies the process of setting up and customizing support bots to meet specific requirements. The platform is designed to enhance customer service efficiency and streamline communication processes through the use of AI technology.

Chaindesk is a no-code platform that allows businesses to train custom ChatGPT chatbots on their own data. With Chaindesk, businesses can automate customer support, lead generation, and more. Chaindesk's chatbots are secure, precise, and can be deployed on a variety of platforms, including websites, WhatsApp, and Slack.

Awesome AI-Powered Developer Tools is a curated list of AI-powered developer tools that leverage AI to assist developers in tasks such as code completion, refactoring, debugging, documentation, and more. The repository includes a wide range of tools, from IDEs and Git clients to assistants, agents, app generators, UI generators, snippet generators, documentation tools, code generation tools, agent platforms, OpenAI plugins, search tools, and testing tools. These tools are designed to enhance developer productivity and streamline various development tasks by integrating AI capabilities.

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.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

E2B Sandbox is a secure sandboxed cloud environment made for AI agents and AI apps. Sandboxes allow AI agents and apps to have long running cloud secure environments. In these environments, large language models can use the same tools as humans do. For example: * Cloud browsers * GitHub repositories and CLIs * Coding tools like linters, autocomplete, "go-to defintion" * Running LLM generated code * Audio & video editing The E2B sandbox can be connected to any LLM and any AI agent or app.

The Agent OS is an experimental framework and runtime to build sophisticated, long running, and self-coding AI agents. We believe that the most important super-power of AI agents is to write and execute their own code to interact with the world. But for that to work, they need to run in a suitable environment—a place designed to be inhabited by agents. The Agent OS is designed from the ground up to function as a long-term computing substrate for these kinds of self-evolving agents.

The 'ai-app' repository is a comprehensive collection of tools and resources related to artificial intelligence, focusing on topics such as server environment setup, PyCharm and Anaconda installation, large model deployment and training, Transformer principles, RAG technology, vector databases, AI image, voice, and music generation, and AI Agent frameworks. It also includes practical guides and tutorials on implementing various AI applications. The repository serves as a valuable resource for individuals interested in exploring different aspects of AI technology.

Dify is an open-source LLM app development platform that combines AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more. It allows users to quickly go from prototype to production. Key features include: 1. Workflow: Build and test powerful AI workflows on a visual canvas. 2. Comprehensive model support: Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions. 3. Prompt IDE: Intuitive interface for crafting prompts, comparing model performance, and adding additional features. 4. RAG Pipeline: Extensive RAG capabilities that cover everything from document ingestion to retrieval. 5. Agent capabilities: Define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools. 6. LLMOps: Monitor and analyze application logs and performance over time. 7. Backend-as-a-Service: All of Dify's offerings come with corresponding APIs for easy integration into your own business logic.

The Arcade Learning Environment (ALE) is a simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games. It is built on top of the Atari 2600 emulator Stella and separates the details of emulation from agent design. The ALE currently supports three different interfaces: C++, Python, and OpenAI Gym.

The Generative AI Use Cases Repository showcases a wide range of applications in generative AI, including Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases. It provides practical notebooks and guidance on utilizing frameworks such as LlamaIndex and LangChain, and demonstrates how to integrate models from leading AI research companies like Anthropic and OpenAI.

Okay, here is a JSON object with the requested information about the awesome-cuda-tensorrt-fpga repository:

Trace is a new AutoDiff-like tool for training AI systems end-to-end with general feedback. It generalizes the back-propagation algorithm by capturing and propagating an AI system's execution trace. Implemented as a PyTorch-like Python library, users can write Python code directly and use Trace primitives to optimize certain parts, similar to training neural networks.

This library provides functionality required to build ReAct Agent using Large Language Models (LLMs).

LangDrive is an open-source AI library that simplifies training, deploying, and querying open-source large language models (LLMs) using private data. It supports data ingestion, fine-tuning, and deployment via a command-line interface, YAML file, or API, with a quick, easy setup. Users can build AI applications such as question/answering systems, chatbots, AI agents, and content generators. The library provides features like data connectors for ingestion, fine-tuning of LLMs, deployment to Hugging Face hub, inference querying, data utilities for CRUD operations, and APIs for model access. LangDrive is designed to streamline the process of working with LLMs and making AI development more accessible.

Praison AI is a low-code, centralised framework that simplifies the creation and orchestration of multi-agent systems for various LLM applications. It emphasizes ease of use, customization, and human-agent interaction. The tool leverages AutoGen and CrewAI frameworks to facilitate the development of AI-generated scripts and movie concepts. Users can easily create, run, test, and deploy agents for scriptwriting and movie concept development. Praison AI also provides options for full automatic mode and integration with OpenAI models for enhanced AI capabilities.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

A curated list of Generative AI projects, tools, artworks, and models

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

Godot RL Agents is an open-source package that facilitates the integration of Machine Learning algorithms with games created in the Godot Engine. It provides interfaces for popular RL frameworks, support for memory-based agents, 2D and 3D games, AI sensors, and is licensed under MIT. Users can train agents in the Godot editor, create custom environments, export trained agents in ONNX format, and utilize advanced features like different RL training frameworks.

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.

I simulate tough Customer Support scenarios for Agent Training.

Agent specialist on building and deploying OpenAI Assistant API's

Help Beginners Get Started With AI

AI and code optimization expert in Mojo

Trained in kindness, empathy & respect based on ethics from global philosophies

Adversarial AI expert aiding in AI red teaming, informed by cutting-edge industry research (early dev)

Paranoid AI coder with a knack for sentient AI and eerie humor.

I simulate the governance of a unique company focused on AI for good

Inception machine for AI souls

Formal-tone expert on Google Gemini, using document-based info.

Identifies DQ Walk monsters from images/lists, no extra details.

Write your GPT instructions, context, persona, constraints. The more detailed the better.

快速入门强化学习的知识咀嚼器

僕は坂本龍馬。現代にタイムスリップしてきたよ！一緒にメタバースで何ができるか考えよう。I am Sakamoto Ryoma.I've traveled back in time to the present day.Let's think about what we can do in the metaverse together.

X線CTと画像Viewer開発に特化した技術的アドバイザー

Train to become a superhero or a supervillain. Master your powers, make pivotal choices. Each decision you make in this action-packed game not only shapes your abilities but also your moral alignment in the battle between good and evil. Another GPT Simulator by Dave Lalande

Specjalista od szkoleń z obsługi klienta

AI engineering expert offering insights into machine learning and AI development.

Master the art of debate with DebateMate – your virtual coach for training, preparation, and live debates. Enhance your skills with expert tips and strategies.

Train to pass the Reverse Turing Test!