No nonsense, 100% information, 0 fluff videos. Thank you so much for sharing your knowledge.

2001: Hello Dave, I can't do that .....

This is where I finally understood RAG.

I appreciate the practical hands-on approach to your AI videos. So many AI presentations are 90% hype (or more).

You have become my most trusted source of technical information.

Re: RAG - This is the first time anyone has shown me an actual USEFUL reason to use AI (aside from "Wow! It's really neat!)  Thanks Dave!

For years I’ve stored documentation relevant to my domain, more than I can read in ten life times and cherry pick from to build conferences and workshop. For some time I knew that local model working on your own data data set could be useful. But today, when I see you explaining that in your video, that became obvious that I should do that move!. Thank you for your help. I subscribed to watch more about local set up of a llama model.

This was really, really, well explained.

Solid gold as every. Straight to the point with clarity mode = On  Thanks

Lawn mower on me died and I uploaded a bunch of general knowledge informTion about lawn mowers. It helped so much.

New Subsciber and Former DEC PDP-11 Software Engineer !

Pure gold. No filler, just high-value insights. Thanks for another incredible video!

Wow!  Ever since I found out how we could download these LLMs and run them locally, I've always been wondering how we can 'train' them to know some very specific information about our focus area.  Thanks for answering this, Dave!

The best tutorial ever, I got tired hearing useless information from other tutorials and after finishing them I felt like I learned nothing, this one was theoretical and practical, I love it, I learned a lot, exactly what I was looking for.

one of the best explanation of  retraining, RAG and context documents. Thank you Dave!

I think I just found my favorite YouTuber. You have a perfect voice and your delivery and way to explain things is second to none. Please continue making more useful videos.

For users who can't find the document tab in Workspace in V0.3.12, it is now called Knowledge and you can just upload your documents here even while in Docker. In Workspace, create your Model as per normal but choose the Knowledge Base that you've created and uploaded files into.

Everything else works as normal.

Thank you for the clear concise explanation !

The RAG method is pretty much every Dev once out of study. Check stackoverflow, then apply the new knowledge

I'm an old Deccie and almost fell off my chair when you started talking about pdp-11s. I looked it up to make sure there wasn't something new that stole the name. Thanks for reviving memories