LazyLLM is a low-code development tool for building multi-agent LLMs(large language models) applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization. LazyLLM offers a convenient workflow for application building and provides numerous standard processes and tools for various stages of the application development process.
The AI application development process based on LazyLLM follows the prototype building -> data feedback -> iterative optimization workflow. This means you can quickly build a prototype application using LazyLLM, then analyze bad cases using task-specific data, and subsequently iterate on algorithms and fine-tune models at critical stages of the application to gradually enhance the overall performance.
LazyLLM is a low-code development tool for building multi-agent LLMs(large language models) applications. It assists developers in creating complex AI applications at very low costs and enables continuous iterative optimization. LazyLLM offers a convenient workflow for application building and provides numerous standard processes and tools for various stages of the application development process.
The AI application development process based on LazyLLM follows the prototype building -> data feedback -> iterative optimization workflow. This means you can quickly build a prototype application using LazyLLM, then analyze bad cases using task-specific data, and subsequently iterate on algorithms and fine-tune models at critical stages of the application to gradually enhance the overall performance.