#OlmOCR Runs on #macOS with #LMStudio: Simple #PDF Text Extraction đź“„
#OlmOCR by #AllenAI now works on regular #macOS systems without specialized #GPU requirements using #LMStudio as inference server
I’m playing with AllenAI OLMo2 LLM.
It kept insisting my use of insulin and my TDD indicated high insulin resistance.
When I noted my c-peptide result is around 1.1ng/dL, it adjusted its view and indicated my TDD would present a challenge in keeping up with goals as a T2D.
My Time In Range is well over 90% while using an insulin pump with a TDD between 30 and 40 units per day.
When I talk about how T2D can be complicated, this is what I mean. Things aren’t always as simple as “lose weight, cure diabetes”.
And this is why we put our trust in humans who are able to reason with modern data to provide our healthcare.
I will say, among the small LLMs that you can run on your own at home, OLMo2 is among the most impressive in terms of emulating knowledge. It’s wild that it doesn’t get more attention. I have to keep reminding myself that it’s very much confidently lying to me.
Hello OLMo: A truly open LLM #allenai #llm #opensource https://www.luisquintanilla.me/feed/allen-ai-olmo-llm?utm_medium=feed
The session "Strategies for Matching Affiliation Strings to ROR IDs" brought together a panel of users (#OpenAlex #AllenAI #DOE-OSTI @crossref) who are working to develop innovative automated approaches to reconciling affiliation data: https://youtu.be/Tx5y7lX030U