Thank you. This seems like a great project to learn from. Unfortunately, I don't feel that I have the necessary skills to start with this project or join the paid webinars yet. I only know Python out of all the tools you mentioned, and familiar with Docker, but have no production experience.
1. Do you have any plans to make a video course for these projects? I'm willing to pay for it and learn.
2. Or, do you think that joining your weekend webinars would be sufficient to learn the necessary skills on the go?
3. If not, do you recommend any structured courses to learn these tools and make myself ready to get started with this project?
I'm curious to hear your thoughts.
Thank you both for sharing your work and progress :)
2. I would say try to follow along with the code and blog first. We are already providing learning material along the way that could help you learn around these systems.
3. Already provided in notebooks and blogs of this phase.
hello guys, i'm a new python developer working in RAG systems and llms , i was building naive rags using langchain and streamlit , how to keep along in the project even thought i haven't used these tools before ?, do i need to create the things i pulled from the github repo on my own ( i don't see anything mentioned to do so just makes sure the tools are working). can i have a clear plan of what to do exactly as i'm an absolute beginner in production enviroment
I'm a software engineer of 7 years, but didn't take statistics or college level math. Is this course worthwhile for someone like me, or do I need to get more education before diving in?
I would recommend to learn along the way. This course no where touches stats - infact its more software engineering. So its worthwhile if you want to get to know about RAG systems.
Thanks for all these materials and for the git repo. I also got the Office hours package, can't wait to join the session and get deep info on the code.
Question, just to be clear: for this Phase 1 of MOAI, will there be anything for us to implement? Or it will be just 1) here is the code update for week N, 2) look over the code, 3) optionally meet on Sunday and discuss the code in depth?
For 3, in those meetings we will talk more about how this project could be extended, deployed. And how you could also build some other RAG usecase using the same infra.
There are many more insights in those sessions that will help you understand the RAG systems in detailed :)
Thank you. This seems like a great project to learn from. Unfortunately, I don't feel that I have the necessary skills to start with this project or join the paid webinars yet. I only know Python out of all the tools you mentioned, and familiar with Docker, but have no production experience.
1. Do you have any plans to make a video course for these projects? I'm willing to pay for it and learn.
2. Or, do you think that joining your weekend webinars would be sufficient to learn the necessary skills on the go?
3. If not, do you recommend any structured courses to learn these tools and make myself ready to get started with this project?
I'm curious to hear your thoughts.
Thank you both for sharing your work and progress :)
Hey,
here are my answers:
1. Probably :)
2. I would say try to follow along with the code and blog first. We are already providing learning material along the way that could help you learn around these systems.
3. Already provided in notebooks and blogs of this phase.
Hope this answers your questions :)
For the paid session on Sunday (that I completely missed :( ) is there a recording shared somewhere? I would love to watch it. Thanks!
Hey, you will get the details tomorrow 🙂
hello guys, i'm a new python developer working in RAG systems and llms , i was building naive rags using langchain and streamlit , how to keep along in the project even thought i haven't used these tools before ?, do i need to create the things i pulled from the github repo on my own ( i don't see anything mentioned to do so just makes sure the tools are working). can i have a clear plan of what to do exactly as i'm an absolute beginner in production enviroment
We answered this question in our session, but also lets discuss more during the next sessions :)
Awesome material! I'm super excited to see the upcoming content.
I'm a software engineer of 7 years, but didn't take statistics or college level math. Is this course worthwhile for someone like me, or do I need to get more education before diving in?
I would recommend to learn along the way. This course no where touches stats - infact its more software engineering. So its worthwhile if you want to get to know about RAG systems.
Amazing work guys, congrats and thanks for sharing !
Thanks alot for your kind words! We really hope its helpful
Thanks for all these materials and for the git repo. I also got the Office hours package, can't wait to join the session and get deep info on the code.
Question, just to be clear: for this Phase 1 of MOAI, will there be anything for us to implement? Or it will be just 1) here is the code update for week N, 2) look over the code, 3) optionally meet on Sunday and discuss the code in depth?
Correct for 1 and 2.
For 3, in those meetings we will talk more about how this project could be extended, deployed. And how you could also build some other RAG usecase using the same infra.
There are many more insights in those sessions that will help you understand the RAG systems in detailed :)