AI Agents EXPLAINED: Unbiased Review of Langraph, AutoGen, and Crew AI Frameworks
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- เผยแพร่เมื่อ 30 มิ.ย. 2024
- Get ready to revolutionize your business with AI agents! But with so many frameworks claiming to be the best, it's hard to know where to start. In this in-depth review, we'll dive into the top 3 AI agent frameworks: Landgraph, AutoGen, and Crew AI. You'll learn the strengths and weaknesses of each, from multi-agent collaboration to customization and integration.
Whether you're a tech geek, business owner, or just curious about the future of AI, this video will give you a clear understanding of what sets these frameworks apart. We'll explore real-world applications, potential use cases, and the benefits of agentic frameworks.
So, which framework will come out on top? Watch to find out and get ready to take your business to the next level with AI agents!
🔗 Links mentioned in the video are below.
Instagram Creator CrewAI Agent Tutorial - • How To Connect Llama3 ...
Andrew Ng Explanation of Agentic Design Patterns - www.deeplearning.ai/the-batch...
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Good stuff! Love seeing new quality AI channels!
Thank you 🙏🏻 next video is dropping tomorrow, you might like it even more
This video is 🔥🔥🔥🔥
Great video! Thanks for explaining these concepts. I had a quick question: do you think there's a clear distinction between AI Agents and Agentic AI? From my understanding, tools like Langchain, AutoGPT, and CrewAI are primarily designed for creating Agentic AI applications, which focus on natural language understanding and generation, while AI Agents are a more general concept involving autonomous entities that may not necessarily rely on language models.
I was also wondering if you see these tools as mainly facilitating the development of individual Agentic AI applications rather than multi-agent systems. I'd love to hear your thoughts on this :)
Thanks again for the insightful content!
4:54 Ackchually it's not a DAG ☝️🤓
The A stands for acyclic but allow to build cyclic graphs is the reason why they created langgraph. If you don't need cycles in your prompt chain I would suggest you to use langchain.
You can build cyclic graphs with langchain as well if you have to.
which open source model do you recomend for ASR?
How about different is between the MetaGPT and ChatDev? And 3 framework here
I have a simple question: Can AI agents take action on my computer? For instance, can they delete a directory or rename a folder? I worry about the potential consequences if an AI agent mistakenly deletes a crucial directory on my machine.
The Agents usually operate with the "tools" they have been given. So unless you have explicitly created a function for accessing your directories with permissions to delete then It shouldn't happen. Also most frequently they are run in their private environments such as docker so if things go FUBAR then it should be limited to that docker instance. At least that's what I've experienced. Very good point though.
Hi, thanks for clearing this up. I want to build software using AI agents only And I'm not talking about a workflow but actual software. . Do you have experience with this?
What about Devika or OpenDevin?
I would have to test that
how do you do this without coding?
I think you can use Flowise to create agentic type of behavior using almost no code. Having general understanding on how to code is worth learning though
I got flashbanged by subtitles
“You’re sitting too close to the 📺 lol. I’ll tone them down for next time!”
3 AI agents , In Depth in 8 minutes. I dont think so. More like a cursory glance
Edit: I swear the title said, In Depth... My bad. I'll leave this here and let others revel in my shame.
More like a cliff notes and certain insight that I found very valuable when i started working with them.
The words deep dive were used at around 1:29 so please feel vindicated 😊