Hugging Face's logo
Home Intelligent System's picture
9 62

Home Intelligent System PRO

brainhome
Gargaz's profile picture 21world's profile picture VIATEUR-AI's profile picture
·
https://gadzety360.pl

AI & ML interests

Broad interest in machine learning technologies, especially dialogue chatbots in Polish.

Recent Activity

replied to their post 17 days ago
Trinity-Synthesis: A Multi-Agent Architecture for AI Agents That Think Before They Speak Ever felt your AI agent is "shooting from the hip"? It latches onto a single line of thought and fails to produce a robust, well-rounded plan. This is a common struggle I've called the "AI Reasoning Paradox." To tackle this, I developed Trinity-Synthesis, a multi-agent architecture designed to force reflection and synthesis before delivering a final answer. The philosophy is simple: constructive conflict between different perspectives leads to better solutions. Here’s the core idea: Instead of one agent, it uses four agents running on the same base model but with different "personalities" defined by their system prompts and temperature settings: 🧠 The Visionary: Thinks outside the box (high temp: 1.0). 📊 The Analyst: Focuses on logic, data, and structure (low temp: 0.3). 🛠️ The Pragmatist: Evaluates feasibility, costs, and risks (mid temp: 0.5). These three "thinkers" work in parallel on the same problem. Then, a final Synthesizer agent critically analyzes their outputs, rejects flawed arguments, and integrates the best points into a single, coherent, and often superior strategy. The result is a more robust reasoning process that balances creativity with analytical rigor, making it ideal for solving complex, strategic problems where answer quality is critical. I've written a deep dive on how it works, including a detailed case study ("The Helios Initiative") and the Python source code for you to experiment with. Read the full article on Medium: https://medium.com/@brainhome9/trinity-synthesis-how-i-built-an-ai-agent-that-thinks-before-it-speaks-d45d45c2827c I'd love to hear your feedback and see what you build with it! #AI #AIAgents #LLM #Reasoning #MultiAgent
replied to their post 17 days ago
Trinity-Synthesis: A Multi-Agent Architecture for AI Agents That Think Before They Speak Ever felt your AI agent is "shooting from the hip"? It latches onto a single line of thought and fails to produce a robust, well-rounded plan. This is a common struggle I've called the "AI Reasoning Paradox." To tackle this, I developed Trinity-Synthesis, a multi-agent architecture designed to force reflection and synthesis before delivering a final answer. The philosophy is simple: constructive conflict between different perspectives leads to better solutions. Here’s the core idea: Instead of one agent, it uses four agents running on the same base model but with different "personalities" defined by their system prompts and temperature settings: 🧠 The Visionary: Thinks outside the box (high temp: 1.0). 📊 The Analyst: Focuses on logic, data, and structure (low temp: 0.3). 🛠️ The Pragmatist: Evaluates feasibility, costs, and risks (mid temp: 0.5). These three "thinkers" work in parallel on the same problem. Then, a final Synthesizer agent critically analyzes their outputs, rejects flawed arguments, and integrates the best points into a single, coherent, and often superior strategy. The result is a more robust reasoning process that balances creativity with analytical rigor, making it ideal for solving complex, strategic problems where answer quality is critical. I've written a deep dive on how it works, including a detailed case study ("The Helios Initiative") and the Python source code for you to experiment with. Read the full article on Medium: https://medium.com/@brainhome9/trinity-synthesis-how-i-built-an-ai-agent-that-thinks-before-it-speaks-d45d45c2827c I'd love to hear your feedback and see what you build with it! #AI #AIAgents #LLM #Reasoning #MultiAgent
posted an update 18 days ago
Trinity-Synthesis: A Multi-Agent Architecture for AI Agents That Think Before They Speak Ever felt your AI agent is "shooting from the hip"? It latches onto a single line of thought and fails to produce a robust, well-rounded plan. This is a common struggle I've called the "AI Reasoning Paradox." To tackle this, I developed Trinity-Synthesis, a multi-agent architecture designed to force reflection and synthesis before delivering a final answer. The philosophy is simple: constructive conflict between different perspectives leads to better solutions. Here’s the core idea: Instead of one agent, it uses four agents running on the same base model but with different "personalities" defined by their system prompts and temperature settings: 🧠 The Visionary: Thinks outside the box (high temp: 1.0). 📊 The Analyst: Focuses on logic, data, and structure (low temp: 0.3). 🛠️ The Pragmatist: Evaluates feasibility, costs, and risks (mid temp: 0.5). These three "thinkers" work in parallel on the same problem. Then, a final Synthesizer agent critically analyzes their outputs, rejects flawed arguments, and integrates the best points into a single, coherent, and often superior strategy. The result is a more robust reasoning process that balances creativity with analytical rigor, making it ideal for solving complex, strategic problems where answer quality is critical. I've written a deep dive on how it works, including a detailed case study ("The Helios Initiative") and the Python source code for you to experiment with. Read the full article on Medium: https://medium.com/@brainhome9/trinity-synthesis-how-i-built-an-ai-agent-that-thinks-before-it-speaks-d45d45c2827c I'd love to hear your feedback and see what you build with it! #AI #AIAgents #LLM #Reasoning #MultiAgent
View all activity

Organizations

None yet