#MultiAgenticAI

2025-01-05

an interesting project to try with #Copilot / #Autogen / #Waldiez / #AG2 / #LangGraph

#AI #AIAgents #MultiAgenticAI #GenAI

2025-01-05

After several months of exploring #MultiAgenticAI (w/ #Autogen, #Waldiez) my key insights are:

- Despite not coding for 30 years, I built apps using agents
- Agents can automate API access
- Development time for apps is significantly reduced

#AI #GenAI #AgenticAI

2024-11-17

𝐏𝐢𝐜𝐭𝐮𝐫𝐞 𝐭𝐡𝐢𝐬 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 where #composable multi-agentic #AI can create a seamless #shopping experiences: linkedin.com/posts/shishs_reta

#GenAI #GenerativeAI #AgenticAI #MultiAgenticAI

2024-11-17

Agents are based on the principle that 𝒅𝒊𝒗𝒆𝒓𝒔𝒆 𝒕𝒆𝒂𝒎𝒔 𝒑𝒓𝒐𝒅𝒖𝒄𝒆 𝒃𝒆𝒕𝒕𝒆𝒓 𝒐𝒖𝒕𝒄𝒐𝒎𝒆𝒔. Greater diversity in opinion is facilitated by essentially making #LLMs chat with each other linkedin.com/posts/shishs_auto

#AI #GenAI #MultiAgenticAI #AgenticAI

2024-11-01

AutoGen 0.4, a complete redesign of the framework from the foundation up. AutoGen 0.4 embraces the actor model of computing to support distributed, highly scalable, event-driven agentic systems microsoft.github.io/autogen/0.

#AI #GenAI #AgenticAI #MultiAgenticAI

2024-10-04

I am fascinated by the possibility of how #MultiAgenticAI could serve (my wishful thinking) as the cornerstone of an 𝑨𝑰 𝑶𝒑𝒆𝒓𝒂𝒕𝒊𝒏𝒈 𝑺𝒚𝒔𝒕𝒆𝒎 by leveraging an architecture stack that integrates #AI Models and Multi-Agentic #AI Frameworks: linkedin.com/posts/shishs_mult

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst