Best AI tools for< Train In Business >

Personat is an AI-powered platform that offers intelligent solutions for various needs, including design, writing, social media, and more. The platform provides access to a team of knowledgeable AI professionals who can assist users in achieving real results. With a focus on expertise and innovation, Personat aims to streamline tasks and enhance productivity for individuals and businesses alike.

The C3.ai Digital Transformation Institute is a research consortium focused on accelerating the benefits of artificial intelligence for business, government, and society. It engages leading scientists in research related to the Science of Digital Transformation, which encompasses artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy, and ethics. Established in March 2020, the institute consists of prominent institutions such as C3 AI, Microsoft Corporation, and various universities. The institute aims to drive innovation and collaboration in the field of AI and digital transformation.

Resinq is an AI-powered chatbot solution that offers intelligent chatbot solutions for websites and mobile apps. It simplifies the creation, integration, and management of chatbots, enabling businesses to enhance customer interactions effortlessly. From 24/7 customer support to capturing leads and scheduling appointments, Resinq's bots engage users in real-time, providing a seamless and versatile chatbot experience. The platform supports advanced text-to-speech (TTS) and speech-to-text (STT) features, making chatbot interactions natural and lifelike. Resinq aims to address the challenges faced by businesses in creating and managing chatbots by providing an all-in-one solution for chatbot deployment and management.

GPTBots.ai is a powerful no-code platform for creating AI-driven business applications. It seamlessly integrates large language models with organizational data, services, and workflows to empower AI bots in driving business growth. The platform allows users to build and train AI bots without coding experience, access best-practice AI bot templates, optimize and customize AI knowledge base, and adapt to various scenarios with intelligent agent bots. GPTBots supports diverse input types, offers versatile language models, enables seamless chatbot-human handoff, and provides robust API and SDK for embedding capabilities into products. Trusted by over 100k companies worldwide, GPTBots helps enterprises enhance customer service, leads generation, SEO writing, data analysis, and more.

GPTBots.ai is a powerful no-code platform for creating AI-driven business applications. It seamlessly integrates large language models with organizational data, services, and workflows to empower AI bots in driving business growth. The platform allows users to build and train AI bots without coding experience, access best-practice templates, optimize AI knowledge bases, and adapt to various scenarios with intelligent agent bots. GPTBots supports diverse input types, offers versatile language models, and enables seamless chatbot-human handoff. Trusted by over 100k companies worldwide, GPTBots enhances customer support, leads generation, SEO writing, and data analysis, catering to various industries.

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.

Ferdinand is a platform designed to help users build their data culture and skills effortlessly. It offers interactive mini-courses in Data & Analytics through a chatbot integrated with Slack. Users can learn at their own pace and track progress easily. Ferdinand provides tools and resources to enhance business growth, simplifies learning barriers, and offers a robust payments platform. With features like interactive mini-courses, simplified card issuing, streamlined checkout, smart dashboard, optimized platforms, and faster transaction approval, Ferdinand aims to empower users in navigating the world of data successfully.

Imagga is a leading provider of image recognition solutions for developers and businesses. Its API empowers intelligent apps with customizable machine learning technology. Imagga's solutions include tagging, categorization, cropping, color extraction, visual search, facial recognition, custom training, and content moderation. These solutions are used by over 30K startups, developers, and students, and trusted by over 200 business customers in more than 82 countries worldwide.

IBM Watsonx is an enterprise studio for AI builders. It provides a platform to train, validate, tune, and deploy AI models quickly and efficiently. With Watsonx, users can access a library of pre-trained AI models, build their own models, and deploy them to the cloud or on-premises. Watsonx also offers a range of tools and services to help users manage and monitor their AI models.

ChatFlow is an AI chatbot application designed to empower businesses by creating AI-powered chatbots for customer support. With ChatFlow, users can engage customers, increase conversions, and boost revenue effortlessly. The application allows for training chatbots on various content types, easy integration into websites, and customization of appearance to align with brand identity. ChatFlow is ideal for SaaS, E-commerce, or any online business looking to deliver automated customer service experiences and enhance user engagement.

Botsonic is an AI chatbot application that offers custom AI chatbots for websites. It provides AI-powered automation solutions for various industries, enabling businesses to enhance customer engagement, support, sales, and more. Botsonic uses AI Copilots trained on data to deliver authentic customer experiences in multiple languages across different channels. The platform allows users to easily create, customize, and integrate AI chatbots into their websites, providing instant support and personalized interactions.

Artiko.ai is a multi-model AI chat platform that integrates advanced AI models such as ChatGPT, Claude 3, Gemini 1.5, and Mistral AI. It offers a convenient and cost-effective solution for work, business, or study by providing a single chat interface to harness the power of multi-model AI. Users can save time and money while achieving better results through features like text rewriting, data conversation, AI assistants, website chatbot, PDF and document chat, translation, brainstorming, and integration with various tools like Woocommerce, Amazon, Salesforce, and more.

ChatBob is an AI-powered chatbot application designed for businesses to automate customer interactions on their websites. With just a few clicks, users can create a multilingual chatbot that can respond in over 95 languages, catering to a global audience. ChatBob helps businesses collect leads, customize chatbot settings, and remove branding. It offers different pricing plans to suit varying needs, from a free plan with limited features to premium plans with advanced functionalities.

Kensho Solutions is an AI tool that illuminates insights in the world's data by providing AI solutions for audio transcription, entity identification, document classification, data extraction, and company data mapping. Their AI solutions unlock insights, enabling users to make data-driven decisions with conviction. In partnership with S&P Global, Kensho Solutions has access to vast amounts of data, which they use to train and develop machine learning algorithms to address the business world's most pressing challenges.

Wonderchat is an AI chatbot builder that allows you to create a custom chatbot using your business data. You can build a chatbot in 5 minutes that can answer customer support queries, provide information about your products or services, and more. Wonderchat is easy to use, even if you don't have any coding experience. You can embed your chatbot on your website or use it on messaging platforms like Facebook Messenger and WhatsApp.

GPTHelp.ai is an AI chatbot tool designed to help website owners provide instant answers to their visitors' questions. The tool is trained on the website content, files, and FAQs to deliver accurate responses. Users can customize the chatbot's design, behavior, and personality to fit their needs. With GPTHelp.ai, creating and training your own AI chatbot is quick and easy, eliminating the need for manual setup of FAQs. The tool also allows users to monitor conversations, intervene if necessary, and view chat history for performance evaluation.

Crisp is an all-in-one AI-powered business messaging platform designed to centralize teams, conversations, data, and knowledge in one place. It offers features such as centralized inbox for inbound messages, AI-powered automations, CRM integration, artificial intelligence training, knowledge base creation, website chat widget, proactive campaigns, and more. Crisp aims to streamline customer support, marketing, and sales processes by providing a comprehensive solution for businesses to engage with customers effectively.

Kopyst is an AI-powered documentation tool that revolutionizes the process of creating engaging video and documents. It helps users streamline workflows, create user manuals, SOPs, and training documents with unmatched accuracy and efficiency. Kopyst offers features like instant documentation, versatile application for various document types, AI-powered intelligence, easy sharing and collaboration, and seamless integration with existing tools. The application empowers users to save time, reduce errors, optimize resources, and enhance productivity in documentation tasks.

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.

SiteSpeakAI is an AI-powered platform that enables users to automate their customer support by creating custom GPT chatbots trained on their content. The chatbots can be integrated into websites, Slack, Telegram, and more to provide 24/7 responses to visitor queries, thereby reducing support tickets. The platform offers smart AI chatbot training, customization options, analytics, and integration with various tools and platforms.

TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

Zshot is a highly customizable framework for performing Zero and Few shot named entity and relationships recognition. It can be used for mentions extraction, wikification, zero and few shot named entity recognition, zero and few shot named relationship recognition, and visualization of zero-shot NER and RE extraction. The framework consists of two main components: the mentions extractor and the linker. There are multiple mentions extractors and linkers available, each serving a specific purpose. Zshot also includes a relations extractor and a knowledge extractor for extracting relations among entities and performing entity classification. The tool requires Python 3.6+ and dependencies like spacy, torch, transformers, evaluate, and datasets for evaluation over datasets like OntoNotes. Optional dependencies include flair and blink for additional functionalities. Zshot provides examples, tutorials, and evaluation methods to assess the performance of the components.

AI-For-Beginners is a comprehensive 12-week, 24-lesson curriculum designed by experts at Microsoft to introduce beginners to the world of Artificial Intelligence (AI). The curriculum covers various topics such as Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, Genetic Algorithms, and Multi-Agent Systems. It includes hands-on lessons, quizzes, and labs using popular frameworks like TensorFlow and PyTorch. The focus is on providing a foundational understanding of AI concepts and principles, making it an ideal starting point for individuals interested in AI.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

SenseVoice is a speech foundation model focusing on high-accuracy multilingual speech recognition, speech emotion recognition, and audio event detection. Trained with over 400,000 hours of data, it supports more than 50 languages and excels in emotion recognition and sound event detection. The model offers efficient inference with low latency and convenient finetuning scripts. It can be deployed for service with support for multiple client-side languages. SenseVoice-Small model is open-sourced and provides capabilities for Mandarin, Cantonese, English, Japanese, and Korean. The tool also includes features for natural speech generation and fundamental speech recognition tasks.

HelixML is a private GenAI platform that allows users to deploy the best of open AI in their own data center or VPC while retaining complete data security and control. It includes support for fine-tuning models with drag-and-drop functionality. HelixML brings the best of open source AI to businesses in an ergonomic and scalable way, optimizing the tradeoff between GPU memory and latency.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

Only Train Once (OTO) is an automatic, architecture-agnostic DNN training and compression framework that allows users to train a general DNN from scratch or a pretrained checkpoint to achieve high performance and slimmer architecture simultaneously in a one-shot manner without fine-tuning. The framework includes features for automatic structured pruning and erasing operators, as well as hybrid structured sparse optimizers for efficient model compression. OTO provides tools for pruning zero-invariant group partitioning, constructing pruned models, and visualizing pruning and erasing dependency graphs. It supports the HESSO optimizer and offers a sanity check for compliance testing on various DNNs. The repository also includes publications, installation instructions, quick start guides, and a roadmap for future enhancements and collaborations.

DataHorse is an open-source tool and Python library that simplifies data science for everyone. It allows users to interact with data in plain English without requiring technical skills. Users can create graphs, modify data, and build machine learning models to make predictions. The tool is designed to help businesses and individuals quickly understand their data and make data-driven decisions with ease.

Promptbook is a library designed to build responsible, controlled, and transparent applications on top of large language models (LLMs). It helps users overcome limitations of LLMs like hallucinations, off-topic responses, and poor quality output by offering features such as fine-tuning models, prompt-engineering, and orchestrating multiple prompts in a pipeline. The library separates concerns, establishes a common format for prompt business logic, and handles low-level details like model selection and context size. It also provides tools for pipeline execution, caching, fine-tuning, anomaly detection, and versioning. Promptbook supports advanced techniques like Retrieval-Augmented Generation (RAG) and knowledge utilization to enhance output quality.

Vanna is an open-source Python framework for SQL generation and related functionality. It uses Retrieval-Augmented Generation (RAG) to train a model on your data, which can then be used to ask questions and get back SQL queries. Vanna is designed to be portable across different LLMs and vector databases, and it supports any SQL database. It is also secure and private, as your database contents are never sent to the LLM or the vector database.

The Octopus-v4 project aims to build the world's largest graph of language models, integrating specialized models and training Octopus models to connect nodes efficiently. The project focuses on identifying, training, and connecting specialized models. The repository includes scripts for running the Octopus v4 model, methods for managing the graph, training code for specialized models, and inference code. Environment setup instructions are provided for Linux with NVIDIA GPU. The Octopus v4 model helps users find suitable models for tasks and reformats queries for effective processing. The project leverages Language Large Models for various domains and provides benchmark results. Users are encouraged to train and add specialized models following recommended procedures.

The Oracle Cloud Infrastructure Data Science and AI services Examples repository provides demos, tutorials, and code examples showcasing various features of the OCI Data Science service and AI services. It offers tools for data scientists to develop and deploy machine learning models efficiently, with features like Accelerated Data Science SDK, distributed training, batch processing, and machine learning pipelines. Whether you're a beginner or an experienced practitioner, OCI Data Science Services provide the resources needed to build, train, and deploy models easily.

Txtai is an all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases to enable vector search with SQL, topic modeling, retrieval augmented generation, and more. Txtai can stand alone or serve as a knowledge source for large language models (LLMs). Key features include vector search with SQL, object storage, topic modeling, graph analysis, multimodal indexing, embedding creation for various data types, pipelines powered by language models, workflows to connect pipelines, and support for Python, JavaScript, Java, Rust, and Go. Txtai is open-source under the Apache 2.0 license.

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