An open-source AI R&D automation tool developed by Microsoft that focuses on automating data and model-driven industrial R&D processes, enabling AI to drive data-driven AI to enhance R&D efficiency and productivity.
MiniMax-M2.1 is a state-of-the-art AI model designed for real-world development and agent scenarios. It excels in multilingual software development, complex workflow execution, and full-stack application development, providing open, controllable, and transparent AI agent capabilities。
A Large Language Model (LLM) Agent Framework developed by PaddlePaddle, based on ERNIE Bot's capabilities, providing tool orchestration, automatic scheduling, rich pre-built components, and low development barriers to help developers quickly build AI-native applications。
An end-to-end reinforcement learning training framework for orchestrating tools and agentic workflows that coordinates various models and tools to achieve more efficient solutions than large language models alone.
A lightweight framework for automating large language models and developing autonomous language agents, enabling developers to build LLM applications with a Pythonic approach while supporting multiple models and tool integrations.
AppPlatform is a cutting-edge large model application engineering platform that simplifies AI application development through integrated declarative programming and low-code configuration tools. It provides a powerful, extensible environment for software engineers and product managers to support the entire lifecycle of AI application development from concept to deployment.
Agently is a Python-based GenAI application development framework that simplifies AI interaction with structured data and chained-calls syntax. It offers an event-driven workflow management system called TriggerFlow and allows seamless switching between different AI models without code rewrites.
Page 1 / 1 · 7 total
Get the latest AI tools and trends delivered straight to your inbox. No spam, just intelligence.
