📊 Embeddings - emschwartz · Scour

Perplexity launches high-performance embedding models

testingcatalog.com·1d

🔮pplx-embed-v1

NeurIPS 2021 Papers (2021)

tanelp.github.io·1h·

Discuss: Hacker News

🧠LLM Inference

Embeddings: What they are and why they matter

simonwillison.net·2d

🔢Binary Embeddings

Multi-Level Causal Embeddings

arxiv.org·2d

🔮pplx-embed-v1

pplx-embed: State-of-the-Art Embedding Models for Web-Scale Retrieval

research.perplexity.ai·1d·

Discuss: Hacker News

📌Embedding Retrieval

From Embeddings to Intelligence: Vector Aggregate Functions in Snowflake

pub.towardsai.net·1d

🎯Semantic Tokens

A Machine Learning Crash Course

backdrifting.net·1d

📊Vector Databases

Word2Vec4Kids: Interactive Challenges to Introduce Middle School Students to Word Embeddings

scholar.google.com·1d·

Discuss: Hacker News

🕸️Sparse Vectors

Learning Tangent Bundles and Characteristic Classes with Autoencoder Atlases

arxiv.org·2d

📦Batch Embeddings

Can LLM Embeddings Improve Time Series Forecasting? A Practical Feature Engineering Approach

machinelearningmastery.com·1d

New ARENA material: 8 exercise sets on alignment science & interpretability

lesswrong.com·1d

🛡️AI Safety

On language models and intuition

aleksei.dev·10h

🧠LLM Inference

Why I Built a Masked Autoencoder (MAE) from Scratch (And How You Can Too)

pub.towardsai.net·1d

perplexity-ai/pplx-embed-v1-4b

huggingface.co·19h

🔮pplx-embed-v1

felix-clark/ndarray-glm: Rust library for linear, logistic, and generalized linear model regression

github.com·2d·

Discuss: r/rust

🕯️Candle ML

Diffusion Models (2024)

andrewkchan.dev·57m·

Discuss: Hacker News

🔍AI Interpretability

PaddlePaddle/Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

github.com·3h

🏗️LLM Infrastructure

Finding the subjective truth - Collecting 2M Votes for GenAI model evaluation

rapidata.ai·5h

🎖Text Quality Models

Fast Autoscheduling for Sparse ML Frameworks

fredrikbk.com·3h·

Discuss: Hacker News

Context Window Optimization: Why Ranking, Not Stuffing, Is the Scaling Law for Agents

shaped.ai·2d

🧠Agent Memory

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