Jotform
Trusted by over 25 million users worldwide, Jotform is an all-in-one platform that simplifies data collection, workflow automation, and online sales, all without coding. With Jotform’s drag-and-drop Form Builder, businesses can create customized forms and surveys to collect leads, contact information, payments, appointments, and e-signatures with ease. Choose from over 10,000 templates for everything from feedback surveys to registration forms, or build your own from scratch. Jotform's advanced features, such as conditional logic, autoresponders, and over 200 integrations, further streamline processes.
In addition, Jotform's AI-powered Agents offer real-time customer support by guiding users through the form submission process, answering questions, and ensuring a smooth experience, all while reducing the need for manual intervention.
With Jotform’s Store Builder, you can also set up an online store, sell products, services, and subscriptions, collect donations, and receive payments through 30+ supported payment gateways. Finally, Jotform’s tools like Approvals, PDF Editor, and Report Builder help businesses transform collected data into actionable insights and automate workflows for even greater efficiency.
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Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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Swarm
Swarm is an innovative educational framework created by OpenAI that aims to investigate the orchestration of lightweight, ergonomic multi-agent systems. Its design prioritizes scalability and customization, making it ideal for environments where numerous independent tasks and instructions are difficult to encapsulate within a single prompt. Operating solely on the client side, Swarm, like the Chat Completions API it leverages, maintains a stateless design, which enables the development of scalable and practical solutions without a significant learning curve. Unlike the assistants found in the assistants API, Swarm agents, despite their similar naming for ease of use, function independently and have no connection to those assistants. The framework provides various examples that cover essential concepts such as setup, function execution, handoffs, and context variables, as well as more intricate applications, including a multi-agent configuration specifically designed to manage diverse customer service inquiries within the airline industry. This versatility allows users to harness the potential of multi-agent interactions in various contexts effectively.
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Agentverse
Agentverse is a user-friendly platform tailored for the creation, testing, and deployment of customizable AI agents. It features a cloud-based integrated development environment that streamlines the agent development process, enabling individuals to build, train, and seamlessly incorporate agents into different systems without needing extensive programming skills. With a selection of pre-designed agent templates and various use cases, users can swiftly deploy and tailor agents for a multitude of applications. Each agent hosted on Agentverse is listed in the Almanac, which enhances their visibility and promotes interaction within the Fetch.ai network. The platform also fosters collaborative development through its Teams feature, allowing multiple users to cooperate on agent-related projects. Emphasizing security, Agentverse utilizes containerized environments to ensure data protection and adherence to industry regulations. In addition, it includes a marketplace where users can discover and engage with other registered agents, further enriching the ecosystem. This combination of features creates a comprehensive environment for both novice and experienced developers to engage with AI technologies.
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