AI-Agentic Machine Translation is an open-source framework designed for research and development in machine translation. It orchestrates three core agents—a generator, an evaluator, and a refiner—to collaboratively produce, assess, and refine translations. Built on PyTorch and transformer models, the system supports supervised pre-training, reinforcement learning optimization, and configurable agent policies. Users can benchmark on standard datasets, track BLEU scores, and extend the pipeline with custom agents or reward functions to explore agentic collaboration in translation tasks.

Franz Playground offers a suite of transformer models designed to streamline the development of data applications. The platform enables users to classify, categorize, and extract text, making it a powerful tool for managing and understanding data. Its advanced features contribute to more efficient workflows, enhancing both productivity and accuracy in data-related tasks.

Janus Pro is an innovative AI framework developed by Deepseek that unifies multimodal understanding and image generation. It advances beyond previous models by incorporating a decoupled visual encoding system while maintaining a unified transformer architecture. This model excels in text-to-image and image-to-text tasks, offering superior performance and stability. Available in 1B and 7B parameter variants, Janus Pro is designed for commercial and research use, providing broad applications in various fields.