@yosiasz
knowing something is one thing, teaching in a manner that a new person can grasp things is another thing. very well done, amazing calm and paced presentation ! 1 hour in and already know which direction I need to go!
@debapriyapandit6972
I am from India , a student of FCC, really delighted to learn about llms from people like you who teach us things in a very simple manner . Appreciate this btw.
@poly_nerd
Thanks - eye opening regarding the ease of using local os models!
@capcadoi
This is one of the top 3 tutorials I have ever seen. I like the progressive approach of using cli - curl - python request - ollama library. Wonderful!
@clashingtv2527
As someone new to IT, I've been in this field for the past two years. It's been an enjoyable journey so far. Having spent an hour in this series, I truly appreciate the effort put into it.
@sammyxf6992
amazing i just got a promotion thanks to this course was able to help my startup!!! amazing
@JJtheCoder
This is THE best tutorial in AI. Nice presentation, soothing voice, easy to understand. KUDOS brother.
@sparshpriyadarshi
this lesson could have been presented from the half-way mark onwards, but !!! the backdrop you set up here was very important for all the learning to stick better. great lesson, so good.
@alexandrparahonco9361
I am very grateful to the FCC team and, of course, the speaker for such an impressive and comprehensive course on using Ollama, LLM, and RAG. Despite reading, searching, and speaking with different AI agents, I could not find the answers to my questions—until I found this course! Everything is perfect: the flow, the speaker's voice, the materials (10/10 score), and the order of the content, along with the examples.
@alegntayeyilma9564
❤ my first course that i finished! Never thought it is three hours long. Smooth voice.
@Seleznyaka
That is literally what i was thinking about! Thank you, gonna watch it later and try myself in my classroom with students
@edernilson
This was my first contact with Ollama running local. Thanks
@rocasespino
Delighted to hear your explanations and your deep knowledge on this topic. You really motivated me to deep dive into AI, thanks a lot Paulo!!
@kuldeeparya504
One of the best tutorials available online to get a sense of LLM/LangChain/RAG/Multi Agent Orchestration. Very well presented! Thank You for sharing!
@ManadayMavani
Hey Paulo! Many thanks man. This was indeed a great starter course around Local LLM, RAG, and Ollama. I thoroughly enjoyed learning from you and from your content. ❤ For others, I struggled a lot in setting up Chroma DB on my Windows 11 laptop. I had to downgrade Python to 3.11 to fix the issue.
@Marcos-ht1cs
Amazing!!! Barry White voice helps a lot!
@tpmathebula1
Thank you for this great tutorial. I was able to make the RAG example work on windows by downgrading my python to version 3.10 instead of using the latest version which is 3.13 currently. I also had to substitute the following pdf loader from langchain_community.document_loaders import UnstructuredPDFLoader with from langchain_community.document_loaders import PyPDFLoader then when loading I substituted the following loader = UnstructuredPDFLoader(file_path=doc_path) with loader = PyPDFLoader(file_path=doc_path) then the code worked like a breeze. Thanks again
@shadowgag4526
I never really comment on any courses, but this one was AMAZING! They way you've explained things! I'm scared to start learning anything related to AI (Even tho I am a python dev), but seeing this you really motivated me to open my vscode and start somewhere! Thanks a lot!
@salah-om3gu
First comment YEM, When I finish AI assistante course I'll come back to watch this course, thanks FreeCodeCamp and lecturer❤❤
@vincibits