content.raw: 7 Free resources to master Multi-Agent Systems (MAS)
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content.value: 7 Free resources to master Multi-Agent Systems (MAS)
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content.raw: Collective intelligence is the future of AI. Sometimes, a single agent isn't enough — a team of simpler, specialized agents working together to solve a task can be a much better option. Building Multi-Agent Systems (MAS) isn’t easy, that's why today we’re offering you a list of sources that may help you master MAS:
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content.value: Collective intelligence is the future of AI. Sometimes, a single agent isn't enough — a team of simpler, specialized agents working together to solve a task can be a much better option. Building Multi-Agent Systems (MAS) isn’t easy, that's why today we’re offering you a list of sources that may help you master MAS:
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content.raw: 1. CrewAI tutorials -> 
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content.value: 1. CrewAI tutorials -> 
content.href: https://docs.crewai.com/introduction#ready-to-start-building%3F
content.raw: https://docs.crewai.com/introduction#ready-to-start-building%3F
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content.raw: At the end of the page you'll find a guide on how to build a crew of agents that research and analyze a topic, and create a report. Also, there are useful guides on how to build a single CrewAI agent and a workflow
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content.value: At the end of the page you'll find a guide on how to build a crew of agents that research and analyze a topic, and create a report. Also, there are useful guides on how to build a single CrewAI agent and a workflow
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content.raw: 2. Building with CAMEL multi-agent framework -> 
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content.value: 2. Building with CAMEL multi-agent framework -> 
content.href: https://github.com/camel-ai/camel
content.raw: https://github.com/camel-ai/camel
content.type: link
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content.raw: Offers guides, cookbooks and other useful information to build even million agent societies, explore and work with MAS
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content.value: Offers guides, cookbooks and other useful information to build even million agent societies, explore and work with MAS
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content.raw: 3. Lang Chain multi-agent tutorial -> 
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content.value: 3. Lang Chain multi-agent tutorial -> 
content.href: https://langchain-ai.github.io/langgraph/agents/multi-agent/
content.raw: https://langchain-ai.github.io/langgraph/agents/multi-agent/
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content.raw: Explains how to make agents communicate via handoffs pattern on the example of 2 multi-agent architectures - supervisor and swarm
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content.value: Explains how to make agents communicate via handoffs pattern on the example of 2 multi-agent architectures - supervisor and swarm
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content.raw: 4. "Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations" by Yoav Shoham and Kevin Leyton-Brown -> 
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content.value: 4. "Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations" by Yoav Shoham and Kevin Leyton-Brown -> 
content.href: https://www.masfoundations.org/download.html
content.raw: https://www.masfoundations.org/download.html
content.type: link
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content.raw: This book explains learning between agents, how multiple agents solve shared problems and communicate with focus on theory, practical examples and algorithms, diving into the game theory and logical approaches
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content.value: This book explains learning between agents, how multiple agents solve shared problems and communicate with focus on theory, practical examples and algorithms, diving into the game theory and logical approaches
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content.raw: Also, check out The Turing Post article about MAS -> 
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content.value: Also, check out The Turing Post article about MAS -> 
content.href: https://www.turingpost.com/p/mas
content.raw: https://www.turingpost.com/p/mas
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content.raw: Our article can be a good starting guide for you to explore what MAS is, its components, architectures, types, top recent developments and current trends
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content.value: Our article can be a good starting guide for you to explore what MAS is, its components, architectures, types, top recent developments and current trends
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content.raw: More resources in the comments 👇
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content.value: More resources in the comments 👇
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content.raw: If you liked it, also subscribe to the Turing Post: 
content.type: text
content.value: If you liked it, also subscribe to the Turing Post: 
content.href: https://www.turingpost.com/subscribe
content.raw: https://www.turingpost.com/subscribe
content.type: link
rawContent: 7 Free resources to master Multi-Agent Systems (MAS)
  
  Collective intelligence is the future of AI. Sometimes, a single agent isn't enough — a team of simpler, specialized agents working together to solve a task can be a much better option. Building Multi-Agent Systems (MAS) isn’t easy, that's why today we’re offering you a list of sources that may help you master MAS:
  
  1. CrewAI tutorials -> https://docs.crewai.com/introduction#ready-to-start-building%3F
  At the end of the page you'll find a guide on how to build a crew of agents that research and analyze a topic, and create a report. Also, there are useful guides on how to build a single CrewAI agent and a workflow
  
  2. Building with CAMEL multi-agent framework -> https://github.com/camel-ai/camel
  Offers guides, cookbooks and other useful information to build even million agent societies, explore and work with MAS
  
  3. Lang Chain multi-agent tutorial -> https://langchain-ai.github.io/langgraph/agents/multi-agent/
  Explains how to make agents communicate via handoffs pattern on the example of 2 multi-agent architectures - supervisor and swarm
  
  4. "Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations" by Yoav Shoham and Kevin Leyton-Brown -> https://www.masfoundations.org/download.html
  This book explains learning between agents, how multiple agents solve shared problems and communicate with focus on theory, practical examples and algorithms, diving into the game theory and logical approaches
  
  Also, check out The Turing Post article about MAS -> https://www.turingpost.com/p/mas
  Our article can be a good starting guide for you to explore what MAS is, its components, architectures, types, top recent developments and current trends
  
  More resources in the comments 👇
  
  If you liked it, also subscribe to the Turing Post: https://www.turingpost.com/subscribe
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