[NFBCS] Local AI

[Lewis Wood]

I am currently learning as well.

 

I am now doing Ollama playlist lessons #2 currently.

https://www.youtube.com/playlist?list=PLvsHpqLkpw0fIT-WbjY-xBRxTftjwiTLB

 

 

I did my initial research on Lm Studio before I learned about Ollama CLI

 

This was my first Lm Studio and it was an excellent one regarding resources,
models, agents, etc.  Even discussed how to load partial in differing areas
gpu and ddr.

https://www.youtube.com/watch?v=UngVdAsQEiU

 

 

You can search youtube  "lm studio"

 

Lewis Wood

 

 

 

From: NFBCS <nfbcs-bounces at nfbnet.org> On Behalf Of Joe Orozco via NFBCS
Sent: Wednesday, May 20, 2026 10:08 PM
To: 'NFB in Computer Science Mailing List' <nfbcs at nfbnet.org>
Cc: Joe Orozco <jsorozco at gmail.com>
Subject: [NFBCS] Local AI

 

Hello,

 

With Google following in Claude's footsteps in terms of usage restrictions,
can anyone speak to their experience using local LLM options? I'm looking at
Jemma 4 and trying to understand how accessible this route might be with
JAWS on Windows.

 

I'm on a fairly decent machine: 32 GB RAM, Ultra 7 processor, 4 TB SSD. I
see they're recommending GPU for some of the more robust models, but I want
to think most of what I'm doing shouldn't require gaming machine specs. If
you beg to differ though, let me know.

 

If anyone can speak to Jemma alternatives, I'd also be interested. I don't
think I'll suspend my subscriptions, but with these usage limitations
feeling like the new standard, I want to spread my usage a little so that I
don't feel like I need to be hitting the top subscriptions just to get more
mileage out of the five-hour increments.

 

Thanks in advance for any tips,

 

Joe

 

--

Joe Orozco: Your Message, My Mission

https://joeorozco.com/services/

 

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