From d359d8af928c2ca0e458ce9a3f06ac3778e6524d Mon Sep 17 00:00:00 2001 From: Ian Johnson Date: Wed, 1 May 2024 16:42:29 -0400 Subject: [PATCH] update hero images --- README.md | 4 ++-- documentation/curate-combined-cluster.png | Bin 0 -> 1965888 bytes 2 files changed, 2 insertions(+), 2 deletions(-) create mode 100644 documentation/curate-combined-cluster.png diff --git a/README.md b/README.md index 335de67..0f6ad51 100644 --- a/README.md +++ b/README.md @@ -3,8 +3,8 @@ [![PyPI version](https://img.shields.io/pypi/v/latentscope.svg)](https://pypi.org/project/latentscope/) Quickly embed, project, cluster and explore a dataset. This project is a new kind of workflow + tool for visualizing and exploring datasets through the lens of latent spaces. -Setup your scope -Explore and Curate your data +Setup your scope +Explore and Curate your data The power of machine learning models to encode unstructured data into high-dimensional embeddings is relatively under-explored. Retrieval Augmented Generation has taken off as a popular usecase for embeddings, but do you feel confident in your understanding of why certain data is being retrieved? Do you have a clear picture of what all is in your dataset? Latentscope is like a microscope that allows you to get a new perspective on what's happening to your data when it's embedded. 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