ginipick's picture

ginipick PRO

ginipick

·

AI & ML interests

None yet

Recent Activity

reacted to openfree's post with ❤️ 1 day ago

Agentic AI Era: Analyzing MCP vs MCO 🚀 Hello everyone! With the rapid advancement of AI agent technology, two architectures have come into the spotlight: MCP (Model Context Protocol) and MCO (Model Context Open-json). Today, we’ll introduce the key features and differences of these two approaches. https://huggingface.co/spaces/VIDraft/Agentic-AI-CHAT MCP: The Traditional Approach 🏛️ Centralized Function Registry: All functions are hardcoded into the core system. Static Function Definitions & Tight Coupling: New features require changes to the core application code, limiting scalability. Monolithic Design: Complex deployment and version management can cause a single error to affect the whole system. Code Example: '''py FUNCTION_REGISTRY = { "existing_function": existing_function, "new_function": new_function # Adding a new function } ''' MCO: A Revolutionary Approach 🆕 JSON-based Function Definitions: Function details are stored in external JSON files, enabling dynamic module loading. Loose Coupling & Microservices: Each function can be developed, tested, and deployed as an independent module. Flexible Scalability: Add new features by simply updating the JSON and module files, without modifying the core system. JSON Example: [ { "name": "analyze_sentiment", "module_path": "nlp_tools", "func_name_in_module": "sentiment_analysis", "example_usage": "analyze_sentiment(text=\"I love this product!\")" } ] Why MCO? 💡 Enhanced Development Efficiency: Developers can focus on their own modules with independent testing and deployment. Simplified Error Management: Errors remain confined within their modules, enabling quick hotfixes. Future-Proofing: With potential features like remote function calls (RPC), access control, auto-documentation, and a function marketplace, MCO paves the way for rapid innovation. Practical Use & Community 🤝 The MCO implementation has been successfully tested on Vidraft’s LLM (based on Google Gemma-3)

reacted to openfree's post with 👀 1 day ago

Agentic AI Era: Analyzing MCP vs MCO 🚀 Hello everyone! With the rapid advancement of AI agent technology, two architectures have come into the spotlight: MCP (Model Context Protocol) and MCO (Model Context Open-json). Today, we’ll introduce the key features and differences of these two approaches. https://huggingface.co/spaces/VIDraft/Agentic-AI-CHAT MCP: The Traditional Approach 🏛️ Centralized Function Registry: All functions are hardcoded into the core system. Static Function Definitions & Tight Coupling: New features require changes to the core application code, limiting scalability. Monolithic Design: Complex deployment and version management can cause a single error to affect the whole system. Code Example: '''py FUNCTION_REGISTRY = { "existing_function": existing_function, "new_function": new_function # Adding a new function } ''' MCO: A Revolutionary Approach 🆕 JSON-based Function Definitions: Function details are stored in external JSON files, enabling dynamic module loading. Loose Coupling & Microservices: Each function can be developed, tested, and deployed as an independent module. Flexible Scalability: Add new features by simply updating the JSON and module files, without modifying the core system. JSON Example: [ { "name": "analyze_sentiment", "module_path": "nlp_tools", "func_name_in_module": "sentiment_analysis", "example_usage": "analyze_sentiment(text=\"I love this product!\")" } ] Why MCO? 💡 Enhanced Development Efficiency: Developers can focus on their own modules with independent testing and deployment. Simplified Error Management: Errors remain confined within their modules, enabling quick hotfixes. Future-Proofing: With potential features like remote function calls (RPC), access control, auto-documentation, and a function marketplace, MCO paves the way for rapid innovation. Practical Use & Community 🤝 The MCO implementation has been successfully tested on Vidraft’s LLM (based on Google Gemma-3)

reacted to openfree's post with 🚀 1 day ago

Agentic AI Era: Analyzing MCP vs MCO 🚀 Hello everyone! With the rapid advancement of AI agent technology, two architectures have come into the spotlight: MCP (Model Context Protocol) and MCO (Model Context Open-json). Today, we’ll introduce the key features and differences of these two approaches. https://huggingface.co/spaces/VIDraft/Agentic-AI-CHAT MCP: The Traditional Approach 🏛️ Centralized Function Registry: All functions are hardcoded into the core system. Static Function Definitions & Tight Coupling: New features require changes to the core application code, limiting scalability. Monolithic Design: Complex deployment and version management can cause a single error to affect the whole system. Code Example: '''py FUNCTION_REGISTRY = { "existing_function": existing_function, "new_function": new_function # Adding a new function } ''' MCO: A Revolutionary Approach 🆕 JSON-based Function Definitions: Function details are stored in external JSON files, enabling dynamic module loading. Loose Coupling & Microservices: Each function can be developed, tested, and deployed as an independent module. Flexible Scalability: Add new features by simply updating the JSON and module files, without modifying the core system. JSON Example: [ { "name": "analyze_sentiment", "module_path": "nlp_tools", "func_name_in_module": "sentiment_analysis", "example_usage": "analyze_sentiment(text=\"I love this product!\")" } ] Why MCO? 💡 Enhanced Development Efficiency: Developers can focus on their own modules with independent testing and deployment. Simplified Error Management: Errors remain confined within their modules, enabling quick hotfixes. Future-Proofing: With potential features like remote function calls (RPC), access control, auto-documentation, and a function marketplace, MCO paves the way for rapid innovation. Practical Use & Community 🤝 The MCO implementation has been successfully tested on Vidraft’s LLM (based on Google Gemma-3)

View all activity

Organizations

ginipick's activity

New activity in ginigen/Every-Text 18 days ago

Possible spelling mistake

#2 opened 18 days ago by

New activity in ginigen/text3d-r1 22 days ago

Not working

#171 opened 26 days ago by

New activity in ginigen/cartoon about 1 month ago

🚩 Report: Illegal or restricted content

#3 opened about 1 month ago by

New activity in ginipick/Dokdo-multimodal 2 months ago

NOTICE

#13 opened 2 months ago by

New activity in ginigen/Dokdo-membership 2 months ago

NOTICE

#3 opened 2 months ago by

New activity in ginipick/Dokdo-multimodal 2 months ago

Please restart

#12 opened 2 months ago by

New activity in ginipick/text3d 2 months ago

Yo!!!

#1 opened 2 months ago by

New activity in ginipick/OpenSUNO 2 months ago

What is the difference between this space and the official Yue space?

#1 opened 2 months ago by

jameshuntercarter

New activity in ginipick/text3d-ZERO 3 months ago

Luisa Ventura as La padrona della pasticceria

#124 opened 3 months ago by

Strange

#106 opened 3 months ago by

Henri Chassé as Bob

#99 opened 3 months ago by

New activity in ginipick/Dokdo-multimodal 3 months ago

'Dokdo' AI Film Festa

#11 opened 4 months ago by

Longer Videos

#10 opened 4 months ago by

New activity in ginipick/Dokdo-multimodal 4 months ago

problem with video creation

#9 opened 4 months ago by

Get a subscription

#8 opened 4 months ago by

New activity in ginigen/Dokdo 4 months ago

Please restart

#7 opened 4 months ago by

New activity in ginigen/theater 4 months ago

NOTICE

#1 opened 4 months ago by

New activity in ginigen/Dokdo-membership 4 months ago

NOTICE

#1 opened 4 months ago by

New activity in ginipick/Dokdo-multimodal 4 months ago

down again

#7 opened 4 months ago by

New activity in VIDraft/stock 4 months ago

please add more exchanges all over the world

#1 opened 4 months ago by