14 Comments
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AHegde's avatar

Good intro

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Miguel Otero Pedrido's avatar

Thanks! Glad you like it 😊

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Miguel Otero Pedrido's avatar

Thanks! Glad you like it 😊

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Brian Armas Quintana's avatar

Great job over here too Miguel!

Now I don't know what to do, learn a bit about mongoDB, reading docs about MLflow,Langchain and other solutions that we need and use nowadays, reinforce my current data science skills and move from there... I'm more lost than our agents without a brain hahaha 🤯

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Miguel Otero Pedrido's avatar

I'd pick a project I like (e.g. about data science) and use some of these tools that you are mentioning. That will give you a pretty cool portfolio!. Example, you could build a timeseries forecasting model with XGBoost, with experiment tracking / registry using MLFlow. Then, another project that uses LangGraph / LangChain and MongoDB for storing the memories, etc. That's my workflow, hope it works for you too :)

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Brian Armas Quintana's avatar

I'll have to get into it and find what I would like and how could I get the data firstly! Thanks a lot beast

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Shivang Singh's avatar

I know I am a bit late but great introduction to Agents.

It felt like a story book to me tbh!

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Miguel Otero Pedrido's avatar

thanks a lot!! Glad you liked it

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Jaap Hoeve's avatar

cool! what would you recommend for a beginner like me? Langchain or llamaIndex?

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Miguel Otero Pedrido's avatar

I'd probably start with LlamaIndex. The documentation (in my opinion) is better for beginners.

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Jaap Hoeve's avatar

Thanks! Then I will look into that after Christmas

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hyraxvenom's avatar

Pretty good introduction 🚀🔥

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Miguel Otero Pedrido's avatar

Thanks! I'm glad you enjoyed the post :) Be ready for the next lessons!

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Jay's avatar
May 22Edited

Great job Miguel.....!

This is exactly what I needed! Agents have been all over my feed, and I finally feel like I understand what they actually are. Thanks for explaining it in such a relatable way — looking forward to the next lesson!

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