5h15han interesting project to try with #Copilot / #Autogen / #Waldiez / #AG2 / #LangGraph
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
๐๐ข๐๐ญ๐ฎ๐ซ๐ ๐ญ๐ก๐ข๐ฌ ๐๐ฎ๐ฅ๐ญ๐ข-๐๐ ๐๐ง๐ญ๐ข๐ ๐๐ ๐๐๐๐ง๐๐ซ๐ข๐จ where #composable multi-agentic #AI can create a seamless #shopping experiences: https://www.linkedin.com/posts/shishs_retail-scenario-create-personalized-shopping-activity-7263685346104680448-ATXJ?utm_source=share&utm_medium=member_desktop
ShiSh S. on LinkedIn: Retail scenario: Create personalized shopping journeys โ Microsoft Adoption
๐๐ข๐๐ญ๐ฎ๐ซ๐ ๐ญ๐ก๐ข๐ฌ ๐๐ฎ๐ฅ๐ญ๐ข-๐๐ ๐๐ง๐ญ๐ข๐ ๐๐ ๐๐๐๐ง๐๐ซ๐ข๐จ where #composable multi-agentic #AI can create a seamless #shopping experiences: Anโฆ
Agents are based on the principle that ๐ ๐๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐ ๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐. Greater diversity in opinion is facilitated by essentially making #LLMs chat with each other https://www.linkedin.com/posts/shishs_autogen-agents-meet-semantic-kernel-semantic-activity-7263959383988932608-eyxn?utm_source=share&utm_medium=member_desktop
ShiSh S. on LinkedIn: AutoGen Agents Meet Semantic Kernel | Semantic Kernel
Agents are based on the principle that ๐ ๐๐๐๐๐๐ ๐๐๐๐๐ ๐๐๐๐ ๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐. Greater diversity in opinion is facilitated byโฆ
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 https://microsoft.github.io/autogen/0.2/blog/
Some of the resources that I used for learning #Autogen:
1. https://www.deeplearning.ai/short-courses/ai-agentic-design-patterns-with-autogen/
2. https://youtu.be/4ZqJSfV4818?feature=shared
3. https://www.manning.com/books/multi-agent-systems-with-autogen
4. Setup: https://blog.finxter.com/how-to-set-up-autogen-studio-with-docker/
I am fascinated by the possibility of how #MultiAgenticAI could serve (my wishful thinking) as the cornerstone of an ๐จ๐ฐ ๐ถ๐๐๐๐๐๐๐๐ ๐บ๐๐๐๐๐ by leveraging an architecture stack that integrates #AI Models and Multi-Agentic #AI Frameworks: https://www.linkedin.com/posts/shishs_multiagenticai-ai-llms-activity-7247785804897345536-jj9A?utm_source=share&utm_medium=member_desktop
