Two-Tower Embedding Model (hopsworks.ai)

Screenshot of hopsworks.ai: Two-Tower Embedding Model

First screen, captured 3 years ago.

Looks similar

Screenshot of hopsworks.ai: The Big Dictionary of MLOps

The Big Dictionary of MLOps (hopsworks.ai)

70 points by jamesblonde 3 years ago | 10 comments

Screenshot of neuml.github.io: Txtai: Open-source vector search and RAG for minimalists

Txtai: Open-source vector search and RAG for minimalists (neuml.github.io)

220 points by dmezzetti 2 years ago | 48 comments

Screenshot of 4dmodeller.github.io: Show HN: 4d-Modeller – R library to make Bayesian spatiotemporal modeling easy

Show HN: 4d-Modeller – R library to make Bayesian spatiotemporal modeling easy (4dmodeller.github.io)

12 points by mnky9800n 2 years ago | 1 comments

Screenshot of vpetersson.com: Yocto, RockPi and SBOMs: Building modern embedded Linux images

Yocto, RockPi and SBOMs: Building modern embedded Linux images (vpetersson.com)

137 points by mvip 1 year ago | 91 comments

Screenshot of efraingaray.com: TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14

TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14 (efraingaray.com)

21 points by EfrainGaray 28 days ago | 9 comments

Blog post benchmarking TabPFN and TabICL foundation models against tuned XGBoost on fourteen tabular datasets, finding the no-training models won all fourteen.

tabpfn tabicl xgboost tabular-data

Screenshot of osanseviero.github.io: Understand how transformers work by demystifying the math behind them

Understand how transformers work by demystifying the math behind them (osanseviero.github.io)

408 points by LaserPineapple 2 years ago | 94 comments

A hackerllama blog post walking through an end-to-end worked example of transformer math using small random vectors and matrices.

transformers attention neural-networks deep-learning

Looks similar

The Big Dictionary of MLOps(hopsworks.ai)

Txtai: Open-source vector search and RAG for minimalists(neuml.github.io)

Show HN: 4d-Modeller – R library to make Bayesian spatiotemporal modeling easy(4dmodeller.github.io)

Yocto, RockPi and SBOMs: Building modern embedded Linux images(vpetersson.com)

TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14(efraingaray.com)

Understand how transformers work by demystifying the math behind them(osanseviero.github.io)