Benchmarks
It's been a while since my last Mac speed post, so I figured it was about time to post a new one. I've noticed a lot of the old "I get 500 tokens per second!" kind of talk re-appearing, so I figured some cold-hard
A quick introduction before I begin. If you haven't had an opportunity to read it yet, please check out the first post: My personal guide for developing software with AI Assistance. This will not rehash that information, but is rather an addendum to it with new things that
Offline-Wiki-Api
Cross-Posting from Reddit This project is an answer to a previous question that I had about the easiest route to offline Wikipedia RAG. After mulling over the responses, txtai jumped out to me as the most straight forward. Since by default that dataset only returns the first paragraph of the
This post is a combination of some new results, old results, and reddit.com/u/invectorgator's results (with permission) to help give a clear picture of all testing so far. Links to the relevant posts can be found below. This was a lot of fun, and has lit
WilmerAI
Cross-Posting from Reddit IMPORTANT: This is an early development, barely even Alpha, release. Wilmer is a passion project for myself, but it felt stingy not to share it given how interested everyone was in it, so I released early. It's still months from what I'd consider
So, in the past I've mentioned that I use AI to assist in writing code for my personal projects, especially for things I use to automate stuff for myself, and I've gotten pretty mixed responses. Some folks say they do the same, others say AI can
WilmerAI
Ever since I first saw the group chat feature in SillyTavern, I've always wanted to have a team of AI to help me work on things. But I never liked the result of using 1 LLM to do it; it never really felt like it was doing me
So I've been digging into agents a bit. Specifically, been looking into AutoGen and CrewAI. These are super cool. I'm not sure what I'd actually use them for, but between the two I think I like CrewAI the best between the two. Next I&
For the past few months I've been working on a quiet little project on the weekends, whenever I can scrounge up time, and part of that project involves looking for the best models of each domain. Of course, there are some great coding, medical, math, etc finetunes, but
So after seeing a lot of folks recommending SillyTavern as a good front end for APIs, I finally decided to give it a better try. I mostly have been using Oobabooga, and while I had ST installed from many months ago, I never put a lot of time into understanding
Benchmarks
Previous Post Here are some real-world speeds for the Mac M2 Introduction In my previous post, I showed the raw real-world numbers of what non-cached response times would look like for a Mac Studio M2 Ultra. My goal was to demonstrate how well the machine really handles models at full
One thing I see a lot of when folks are talking about how fast a machine/gpu/whatever is that they will answer the question with this vague "I get 12 tokens per second!", which honestly doesn't feel like it gives a clear answer by itself
