#low-code development

LazyLLM is a low-code development tool streamlining the creation of multi-agent AI applications. It facilitates a gradual enhancement process through prototype development, data feedback, and iterative optimization. Key features include easy AI application assembly, single-click deployment, cross-platform adaptability, efficient model fine-tuning, and advanced parameter searching. It supports seamless model integration, offering uniform user experiences whether using local or cloud resources. This tool eases the complexity of AI application development, aiding both novices and seasoned developers in focusing on algorithm innovation without tedious engineering burdens.

PaddleSeg is an image segmentation toolkit built on PaddlePaddle, offering streamlined processes from model training to deployment. Utilizes low-code tools like PaddleX, featuring 19 integrated segmentation models and simple Python APIs for ease of use. Supports over 200 models across tasks such as object detection and OCR. It includes 45+ model algorithms and 140+ pre-trained models for high accuracy and performance. Recent updates enhance multi-label segmentation, introduce lightweight vision models, and improve training compression methods, suitable for applications in healthcare, industrial, and remote sensing fields.

Discover a sophisticated low-code platform built on reversible computing principles, featuring engines like GraphQL, ORM, and workflow for automatic service generation and GraalVM native compilation. Suitable for SMEs requiring flexible development without core code modification, it integrates effortlessly with Quarkus or Spring to enhance performance.