TLDR Index
TLDR AI

TLDR AI 2023-03-23

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01HEADLINES & LAUNCHES

02RESEARCH & INNOVATION

DATA DEDUPLICATION FOR THE REST OF US

There have been many papers arguing both sides of the debate around the usefulness of data deduplication. It seems, in any case, that training on the same data point 300,000+ times is wasteful. A simple deduplication technique here is to embed your data points, cluster into k (e.g., 10k clusters), then remove a subset that has really high cosine similarity with other data points. This technique seems robust to the choice of embedding and the number of clusters, as long as the clusters are high enough. It also works across modalities.

arxiv.org30 min read

TEXT TO ROOM

There has never been a community more interested in interior design than the generative AI community currently is. This work fits in well with the current trend. There are a lot of novel tweaks they needed to do to make the entire 3D space align with the prompt. In all, very interesting work for 3D asset generation.

lukashoel.github.io4 min read

FREEDOM: A TRAINING-FREE CONDITIONAL DIFFUSION MODEL

The article presents FreeDoM, a training-free conditional diffusion model that leverages off-the-shelf pretrained networks to construct time-independent energy functions, enabling effective generation for various conditions. The proposed method offers advantages in simplicity, effectiveness, and low cost and has a broader range of applications than existing training-free methods, as demonstrated by experiments on diverse data domains, including image and latent code domains.

arxiv.org15 min read

03ENGINEERING & RESOURCES

CHATLLAMA

A nice wrapper interface around the instruction tuned Alpaca model. Only the 7B model is available, with others coming. While the quality doesn’t match ChatGPT it is a fun open alternative with linked code.

chatllama.baseten.coTool

GENERATIVE MODELS FOR MEDICAL

A good step towards evaluation, creation, and curation of generative models for a wide variety of tasks with a specific focus on medical. This project aims to assist by building tools for generative medical tasks and comes with metrics and tutorials to help you get started.

github.comGitHub repository

04MISCELLANEOUS