Microsoft’s Official Guide to Advanced Prompt Engineering

Microsoft's Official Guide to Advanced Prompt Engineering

Selected from Microsoft Blog Translated by Machine Heart Machine Heart Editorial Team With large models available, the next step is to design the Prompt. In recent months, large models like ChatGPT and GPT-4 have been released. These models exhibit powerful emergent capabilities, but the results generated by the models can be random, varying in quality, … Read more

Microsoft Multi-Agent Collaboration Framework: Magentic-One

Microsoft Multi-Agent Collaboration Framework: Magentic-One

Recently, Microsoft Research released a paper discussing an innovative multi-agent collaboration framework: Magentic-One. It is a general-purpose agent system designed to efficiently handle complex workflows by coordinating multiple dedicated AI agents. The system architecture of Magnetic-One is as follows, where the red part represents the brain of the entire framework, the Orchestrator, responsible for task … Read more

Microsoft’s Magentic-One: A Revolutionary Open-Source Framework

Microsoft's Magentic-One: A Revolutionary Open-Source Framework

With the rapid development of large models and agent-related technologies, major tech companies are quickly entering the multi-agent era, aiming to help humans handle complex tasks and free up their hands! Microsoft has recently launched the Magentic-One multi-agent framework, built on AotoGen, which not only can converse with humans but also can control computers to … Read more

Magentic-One: An All-in-One System for AI Agents

Magentic-One: An All-in-One System for AI Agents

Recently, Microsoft launched a new multi-agent system called Magentic-One, designed specifically to solve complex, open-ended tasks, particularly excelling in web and document operations. Clear Division of Labor, Each Showing Their Skills The biggest highlight of Magentic-One is its multi-agent architecture. This architecture differs from traditional single-agent systems; Magentic-One is equipped with multiple specialized agents, each … Read more

Microsoft’s ‘Little Cannon’: Phi-4 – A Model for Complex Inference Driven by Synthetic Data

Microsoft's 'Little Cannon': Phi-4 - A Model for Complex Inference Driven by Synthetic Data

Follow us to stay updated! Recently, the LLM community has been immersed in the shock brought by DeepSeek-V3. This model is not only open-source but also performs well. However, such a large-scale LLM is beyond our reach (the GPU memory can’t handle it). If we can’t afford that, let’s take a look at Microsoft’s open-source … Read more