Llama Agents Unleashed! AI Agents as a Service and How its different?
ฝัง
- เผยแพร่เมื่อ 1 ส.ค. 2024
- Welcome to our latest video on Llama Agents, a groundbreaking multi-agent framework by Llama Index! 🎉 Today, we're diving deep into how you can transform your enterprise data into a production-ready AI application using Llama Agents. We'll explore the benefits, setup steps, and comparisons with other frameworks like Crew AI and Autogen.
🚀 What You'll Learn:
The basics of Llama Agents and how it revolutionizes AI agents as a service.
Step-by-step guide to setting up and running Llama Agents.
How Llama Agents compares with other frameworks like Crew AI and Autogen.
Practical examples of hosting AI agents as a service on platforms like Google Cloud and AWS.
How to create and integrate tools for AI agents, set up pipelines, and manage tasks asynchronously.
🔧 Setup Steps:
Install Required Packages: pip install llama_agents llama_index openai
Export OpenAI API Key: Generate and set up your API key from the OpenAI website.
Create and Assign Tools to Agents: Set up functions and tools, and assign them to your agents.
Run Agents Locally and Monitor: Use the Llama Agents monitor to keep track of your agents' activities.
🔗 Useful Links:
Patreon: / mervinpraison
Ko-fi: ko-fi.com/mervinpraison
Discord: / discord
Twitter / X : / mervinpraison
Sponsor a Video or Do a Demo of Your Product: mer.vin/contact/
Code: mer.vin/2024/06/llama-agents-...
Llama Index Playlist: • Llama Index Tutorial
📅 Timestamps:
0:00 Introduction to Llama Agents
1:00 What is Llama Index?
1:30 Differences between Llama Agents and other frameworks
3:00 Step-by-step setup guide
7:00 Running and monitoring agents
9:00 Hosting agents as a service
12:00 Sequential and hierarchical processes in Llama Agents
14:00 Human in the loop integration
15:00 Conclusion and future videos
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It would be cool to have an overview that compares griptape, llama agents, crewai, autogen, maestro and others with their pros and cons. There's so many out there...
thats a very good idea,all of them are constantly dropping updates ,it would be nice to have like an overview understand of library excels at what ...
thanks. waiting for a more practical demonstration solving a real world problem
Lol, keep waiting😅
Its all about demos and no real value
Thank you
This is fantastic way of learning by doing, I love the way you explain the concepts in practical approach. After listening entire session I executed the same code on my Macbook Pro which worked as you explained. Great job Mervin!
Wonderful explanation. Thanks for sharing.
This is amazing!
great explanation Mervin
Good job!
Great vid! idk if i'm not smart enough to deeply understand your example or it could be something more practical..... thanks and carry on!
A detailed video on your coding environment would be great.... its clear youve been through a couple iterations since I first started following you.
I cannot believe that Agents are the future. The cost is too high to let agents decide everything around all possibilities/capabilities for an app.
Yes, it is fun to see AI APIs talking to on another, but even Claude Opus, which is definitely some kind of an LLM OS, is very “reduced” in its agentic functionality. It could do more and better, but the cycles that are in need are not used in its full potential.
thanks!d
I think these Agents on individual urls we all already have, because it was not possible for a long time, to load multiple models on the same host of ollama, without avoiding unloading the model, when it changes. now it’s a bit different.
top top top top 👏👏👏👏👏👏👏👏👏👏
can it run on full local ? with openAI key?
how to run it with local modals,? is there a github repo, looks promising the project.
Will you add this to Praison AI? :D
When will you cover AutoGroq?
whats amazing about that? isn’t crewai, autogen and langgraph doing that already?
0:14 ... first mistake ... it's "Loading" not "Logging"
9:08 ... "CallableMessageConsumer" not "Customer"
9:50 "HumanConsumer" Not "Customer"
Thanks for letting me know. Will help me to improve :)
This is not amazing at all. It’s more practical to deploy an agentic workflow to a url not a single agent
Complicate things is not helpful 😢
Teach us something useful
I think ITS stupid to call these "agents". They don't act like agentes, they ARE Just instructions on how to deal with information.
This is useless