Blades
✨Blades is a multimodal AI Agent framework for the Go language, supporting custom models, tools, memory, middleware, and more. It's designed for multi-turn conversations, chain-of-thought reasoning, and structured output applications.
Blades is a multimodal AI Agent framework for the Go language, supporting custom models, tools, memory, middleware, and more. It's designed for multi-turn conversations, chain-of-thought reasoning, and structured output applications.
A Python library for orchestrating zero-shot computer vision models, enabling custom end-to-end pipeline creation without needing to collect and annotate large training datasets.
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.
A practical guide for building production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph, ideal for developers looking to move AI prototypes to production environments.
ReCall is a novel reinforcement learning framework that trains LLMs to reason with tool calls, enabling them to solve complex problems without requiring supervised data on tool use trajectories or reasoning steps.
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.
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