Nexus - 3D semantic graph of hacker interests
Date : 2024-02-17
Description
This summary was drafted with mixtral-8x7b-instruct-v0.1.Q5_K_M.gguf
Nexus is a 3D semantic graph of hacker interests, created by Freeman Jiang as a data visualization tool. The project uses Together AI for inferencing and embeddings, and requires a .env file with a Together API key to run. To get started, users can clone the repository and follow the quickstart guide provided in the README.md file. This includes creating a virtual environment, installing required packages, and running the main.py and build_graph.py scripts. The resulting graph will be saved in graphData.json.
Read article here
Recently on :
Information Processing | Computing
Data Visualization
WEB - 2024-03-04
Nvidia bans using translation layers for CUDA software | Tom's Hardware
Tom's Hardware - Nvidia has banned running CUDA-based software on other hardware platforms using translation layers in its lice...
WEB - 2024-02-21
Groq Inference Tokenomics: Speed, But At What Cost? | Semianalysis
Semianalysis - Groq, an AI hardware startup, has been making waves with their impressive demos showcasing Mistral Mixtral 8x7b ...
WEB - 2024-02-20
Let's build the GPT Tokenizer
VIDEO | Andrej Karpathy builds from scratch the Tokenizer used in the GPT series from OpenAI, showing that a lot of weird behav...
WEB - 2024-02-17
Nexus - 3D semantic graph of hacker interests
Freeman Jiang introduces Nexus, a 3D data visualization of hacker interests
WEB - 2024-02-16
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention
Chiyu Zhang, Yifei Sun, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Sinong Wang, Rong Jin, Sem Park and Ning Yao and Bo Long use ...