Hacker News with Generative AI: Embeddings

The Structure of Neural Embeddings (seanpedersen.github.io)
A small collection of insights on the structure of embeddings (latent spaces) produced by deep neural networks.
Machine Learning, Deep Learning, Neural Networks, Embeddings
74 points by sean_pedersen 22 days ago | 4 comments
Embeddings are underrated (technicalwriting.dev)
Machine learning (ML) has the potential to advance the state of the art in technical writing. No, I’m not talking about text generation models like Claude, Gemini, LLaMa, GPT, etc. The ML technology that might end up having the biggest impact on technical writing is embeddings.
Machine Learning, Technical Writing, Embeddings
367 points by misonic 78 days ago | 176 comments
Go library for in-process vector search and embeddings with llama.cpp (github.com/kelindar)
This library was created to provide an easy and efficient solution for embedding and vector search, making it perfect for small to medium-scale projects that still need some serious semantic power.
Go, Vector Search, Embeddings, Open Source, Software
114 points by kelindar 82 days ago | 29 comments
Interpreting Clip with Sparse Linear Concept Embeddings (SpLiCE) (arxiv.org)
CLIP embeddings have demonstrated remarkable performance across a wide range of computer vision tasks. However, these high-dimensional, dense vector representations are not easily interpretable, restricting their usefulness in downstream applications that require transparency.
Computer Vision, Machine Learning, Embeddings, Interpretability, Artificial Intelligence
7 points by fzliu 106 days ago | 0 comments
Show HN: AIQ – A no-frills CLI for embeddings and text classification (github.com/taylorai)
aiq is a no-frills CLI for embeddings and text classification, inspired by the power of jq. It does 4 things:
Text Classification, Embeddings, Artificial Intelligence
91 points by andersonbcdefg 120 days ago | 6 comments
Knowledge graphs using Ollama and Embeddings to answer and visualizing queries (github.com/punnerud)
This application uses a local Llama model to answer queries, build embeddings, and create a knowledge graph for exploring related questions and answers.
Knowledge Graphs, Artificial Intelligence, Embeddings
122 points by punnerud 122 days ago | 9 comments
Fine-Tune Embeddings in Google Colab (research.google.com)
Fine-Tuning, Embeddings, Machine Learning, Google Colab
8 points by esleightholm 179 days ago | 1 comments
Quaternion Knowledge Graph Embeddings (2019) (arxiv.org)
Knowledge Graphs, Embeddings, Machine Learning, Artificial Intelligence
100 points by teleforce 268 days ago | 41 comments