What is vector search? We explain everything developers should know about vector indexes, embeddings, and how to use them effectively with Pinecone. For many developers, the present problem is vector similarity search. The solution is Pinecone.| www.pinecone.io
We’ve been publishing election models for more than 10 years now, and FiveThirtyEight’s 2018 House model is probably the most work we’ve ever put into one of th…| FiveThirtyEight
[Updated on 2019-10-01: thanks to Tianhao, we have this post translated in Chinese!] A good machine learning model often requires training with a large number of samples. Humans, in contrast, learn new concepts and skills much faster and more efficiently. Kids who have seen cats and birds only a few times can quickly tell them apart. People who know how to ride a bike are likely to discover the way to ride a motorcycle fast with little or even no demonstration.| lilianweng.github.io
[Updated on 2019-07-18: add a section on VQ-VAE & VQ-VAE-2.] [Updated on 2019-07-26: add a section on TD-VAE.] Autocoder is invented to reconstruct high-dimensional data using a neural network model with a narrow bottleneck layer in the middle (oops, this is probably not true for Variational Autoencoder, and we will investigate it in details in later sections). A nice byproduct is dimension reduction: the bottleneck layer captures a compressed latent encoding.| lilianweng.github.io
K Nearest Neighbors in Python and NumPy| Nikita Kozodoi
With similarity search, we can work with semantic representations of our data and find similar items fast. And in the sections below we will discuss how exactly it works.| www.pinecone.io