Tila

GenFlow 2.0 is a next-generation AI agent system powered by Baidu Wenku’s proprietary Multi-Agent Parallel Architecture, orchestrating over 100 AI agents in parallel to reduce complex task processing from hours to under three minutes. It offers full transparency and user control throughout execution. Users can pause tasks at any stage, modify instructions on the fly, and edit intermediate results, ensuring human-AI collaboration remains dynamic and precise. To enhance reliability and accuracy, GenFlow 2.0 autonomously accesses vast knowledge bases, including Baidu Scholar’s 680 million peer-reviewed publications, Baidu Wenku’s 1.4 billion professional documents, and user-approved Netdisk files, leveraging retrieval-augmented generation and multi-agent cross-validation to minimize hallucinations. The platform supports a wide array of multimodal outputs, ranging from copywriting and visual design to slide generation, research reports, animations, and code.

Waveloom is a developer platform that enables the visual construction and deployment of AI workflows, integrating services like GPT-4, Claude, and DALL-E without the need for infrastructure coding. Its drag-and-drop interface allows users to create complex AI workflows, connecting various services and transforming data seamlessly. Waveloom provides a unified SDK to access multiple AI models, including Claude 3.5, GPT-4, Gemini, Llama, DALL-E, Lora, Flux, Stable Diffusion, and Whisper, handling the underlying infrastructure to let developers focus on building applications. The platform offers real-time monitoring, enabling users to observe workflow execution, debug issues, optimize performance, and manage costs from a single dashboard. With a single function call, developers can run diverse processes, such as AI prompts and image generation, facilitating the creation of AI processing tasks involving large language models, image and video processing, voice synthesis, data storage, etc.