Newest 조건부 논리 Solutions for 2024

Explore cutting-edge 조건부 논리 tools launched in 2024. Perfect for staying ahead in your field.

조건부 논리

  • Nefi enables non-technical users to design, deploy, and manage custom AI agents via a no-code workflow builder.
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    What is Nefi.ai?
    Nefi.ai is a cloud-based platform for designing, training, and orchestrating AI-powered agents without writing code. It offers a visual canvas to assemble blocks like LLM modules, vector database retrieval, external API calls, conditional logic, and memory stores. Agents can be trained on custom documents or linked to enterprise data. Once built, they deploy as chatbots, email assistants, or scheduled tasks. Advanced features include monitoring dashboards, version control, role-based access, and integrations with Slack, Teams, and Zapier.
  • DAGent builds modular AI agents by orchestrating LLM calls and tools as directed acyclic graphs for complex task coordination.
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    What is DAGent?
    At its core, DAGent represents agent workflows as a directed acyclic graph of nodes, where each node can encapsulate an LLM call, custom function, or external tool. Developers define task dependencies explicitly, enabling parallel execution and conditional logic, while the framework manages scheduling, data passing, and error recovery. DAGent also provides built-in visualization tools to inspect the DAG structure and execution flow, improving debugging and auditability. With extensible node types, plugin support, and seamless integration with popular LLM providers, DAGent empowers teams to build complex, multi-step AI applications such as data pipelines, conversational agents, and automated research assistants with minimal boilerplate. The library's focus on modularity and transparency makes it ideal for scalable agent orchestration in both experimental and production environments.
  • A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.
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    What is enhance_llm?
    enhance_llm provides a modular framework for orchestrating large language model calls in defined sequences, allowing developers to chain prompts, integrate external tools or APIs, manage conversational context, and implement conditional logic. It supports multiple LLM providers, custom prompt templates, asynchronous execution, error handling, and memory management. By abstracting the boilerplate of LLM interaction, enhance_llm streamlines the development of agent-like applications—such as automated assistants, data processing bots, and multi-step reasoning systems—making it easier to build, debug, and extend sophisticated workflows.
  • forms.app enables easy online form creation and data collection without coding.
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    What is forms app?
    forms.app is an intuitive online form builder designed to help users create and manage forms, surveys, quizzes, and more without requiring any coding knowledge. With over 4,000 free templates and advanced features like conditional logic, AI assistance, and multiple integration options with tools such as Google Sheets and Zapier, forms.app streamlines the process of data collection and analysis. It's suitable for businesses, researchers, educators, and individuals looking to gather information effectively.
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