How to benchmark Llama2 Uncensored vs. GPT-3.5 on your own inputs | promptfoo

AI/ML
LLM Benchmarks
Why Nvidia’s AI Supremacy is Only Temporary « Pete Warden's blog
Advanced NLP with SpaCy | Hacker News
Buzzy AI Startup for Generating 3D Models Used Cheap Human Labor
Kaedim's founder was recently in a Forbes 30 Under 30 list for the company's 2D to 3D image conversion. In some cases artists produced the work wholecloth, one source said.
Perplexity: Interactive language modeling visualization
I built this little tool to help me understand what it's like to be an autoregressive language model. For any given passage of text, it augments the original text with highlights and annotations that tell me how
amaiya/onprem: A tool for running on-premises large language models with non-public data
AI now impacting the recruitment CV’s – RadOncNotes
Khoj: An Open-Source AI Copilot for your Second Brain
Teach your LLM to always answer with facts not fiction | MyScale | Blog
USA Today's publisher had to update all of the sports posts its AI reporter botched | Engadget
A week after "pausing" its AI high scool sports reporter, Gannett publishing has has had to recheck and update every post the machine had written..
SettingUpML | Macs in Chemistry
Apple M2 Studio Learns Nuke Machine Learning - fxguide
Seeking Advice on Optimal Computer Configuration for Machine/Deep Learning : r/nvidia
The build-a-deep-learning-machine from vineetk1 - Giter Club
Prebuilt vs Building your own Deep Learning Machine vs GPU Cloud (AWS) | BIZON Custom Workstation Computers, Servers. Best Workstation PCs and GPU servers for AI/ML, deep learning, HPC, video editing, 3D rendering, CAD.
Build a super fast deep learning machine for under $1,000 – O’Reilly
How to build the perfect Deep Learning Computer and save thousands of dollars | by Jeff Chen | Mission.org | Medium
TitanXp vs GTX1080Ti for Machine Learning | Puget Systems
GPU Build - edegan.com
Building The Ultimate Machine Learning PC: A Step-by-Step Guide
LLM now provides tools for working with embeddings
A practical guide to deploying Large Language Models Cheap, Good *and* Fast
I try all the things to get Vicuna-13B-v1.5 deployed on an NVIDIA T4 so you don't have to.
A practical guide to deploying Large Language Models Cheap, Good *and* Fast
Joel Kang's extremely comprehensive notes on what he learned trying to run Vicuna-13B-v1.5 on an affordable cloud GPU server (a T4 at $0.615/hour). The space is in so much flux …
Teaching with AI
Wikipedia search-by-vibes through millions of pages offline
Check it out! https://leebutterman.com/wikipedia-search-by-vibes/
A.I.’s un-learning problem: Researchers say it’s virtually impossible to make an A.I. model ‘forget’ the things it learns from private user data
As it turns out, it’s impossible to remove a user’s data from a trained A.I. model. Deleting the model entirely is also difficult—and there’s little regulation to enforce either option.
The End of the Take-Home Essay?
archived 25 Aug 2023 18:01:10 UTC
Making Large Language Models work for you
MagicEdit: High-Fidelity Temporally Coherent Video Editing