Llama Agents as Micro Services!!!
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Published 2024-06-26
More details here - github.com/run-llama/llama-agents
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All Comments (20)
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I built a 100% Local Llama Agents System - https://www.youtube.com/watch?v=aiySmi5JocQ (a bit rusty though)
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Thanks for this review of Llama Agents. This looks really impressive and useful to me. I like the idea of each agent pulling and publishing messages from a Queue. ( I am surprised they went with Orchestrator, since Architect, would have been a nice laugh). The tool plane is good to have. The fact that is using the MIT License really helps. Would be good to see this in action with local documents.
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A deep comparison with langgraph would be very useful, as I was convinced that langgraph was the multi-agent framework to use for production ..
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Very well done, thanks for sharing
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I really like the idea of it. If a self-managing or orchestrating resource/service manager and load balancer can also be added like Kubernetes, I think this will be my go-to architecture for deployment.
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I have been trying to run lambda based agents using native packaging. But needs docker for now. Orchestration of cloud functions will be fun
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Yeah its nice to see more distributed system engineering seep into the llm agent space. I think the right ai engineer will be good cross between a backend engineer- distributed systems + webservices/databases, somewhat of a data engineer - ETL, batch/streaming+data pipelining, LLm training and LLm ops, implementing stuff in pytorch. A background in traditional ML would be nice to have.
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I saw Llamaindex presentation yesterday at AI Engineer World's Fair ❤
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Perfect, still watching I hope I can use llama end to end rather than paid one, hope ollama worked
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Fan of LLAMA-INDEX
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I want to use it, also It would be more fun to have LLM3 agent framework.
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Everything LlamaIndex releases looks like the right direction after assessing what the market needs. Does anyone know if they have deep backers to survive?
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Hi, im a student, could you pls recommend some windows laptop to run models like this (to do fine tuning and stuff) and diffusion models? Thank you
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I think it's quite similar to langgraph..other than monitoring ui..still thanks for sharing ❤.
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make a video about agency-swarm
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Kubernetes in LLM go brrrr
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It seems to me that llama agent has not dealt with memory yet?
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😂 dammit. This keeps happening. 2 months ago I started using this architecture. Before this, I was using chatgpt to call apis. And not long after that, langchain did it. And then chatgpt itself. Ideas really are dime a dozen.
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I love this! Can’t wait to play!🥳🦾😎