Outer Web | Explore

/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.

You are here		blog.adnansiddiqi.me Introduction to LLM \| Adnan's Random bytes
\|	\|	austingil.com AI for Web Devs: What Are Neural Networks, LLMs, & GPTs? Good things to understand when building AI applications: artificial neural networks, LLMs, parameters, embeddings, GPTs, and hallucinations.	1.0 parsecs Travel
\|	\|
\|	\|	andrevala.com TWIL: September 10, 2023 - André Vala This week I was mostly focused on Microsoft Fabric, but I also read interesting articles on Computer Vision, Azure AI Document Intelligence, Embeddings and Vector Search. I'm also recommending a few GitHub repos around AI topics, two papers related to Large Language Models and more. Happy learning!	2.0 parsecs Travel
\|	\|
\|	\|	cset.georgetown.edu The Surprising Power of Next Word Prediction: Large Language Models Explained, Part 1 \| Center for Security and Emerging Tech... Place to find CSET's publications, reports, and people	1.2 parsecs Travel
\|	\|
\|	\|	electricarchaeology.ca archaeCLIP: or building a visual search engine for archaeology \| Electric Archaeology HAL9000 imagined as an archaeologist, via DiffusionBee cross-posted from the XLab blog If you take a bunch of text, and drop it through a large language model, you can get what is called an 'embedding' - a mathematical representation of where that text, that idea you wrote, is located within what the model 'knows'. Other...	13.2 parsecs Travel
\|