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DataFrames at Scale Comparison: TPC-H

We run benchmarks derived from the TPC-H benchmark suite on a variety of scales, hardware architectures, and dataframe projects, notably Apache Spark, Dask, DuckDB, and Polars. No project wins. This post analyzes results within each project and between projects.

https://docs.coiled.io/blog/tpch.html
How AI Can Help Deaf People Hear

This project facilitates communication between Deaf individuals and hearing individuals who do not understand American Sign Language (ASL). It is designed to respect and preserve ASL as the primary language.

https://www.youtube.com/watch?v=uuPxMWQRoXc
Don't worry about LLMs

The post argues that while large language models (LLMs) are receiving a lot of hype, the engineering systems built around them are similar to previous machine learning systems. It advises practitioners to cut through the hype and treat LLMs as regular engineering and ML problems.

https://vickiboykis.com/2024/05/20/dont-worry-about-llms/
Mesop – Open-source Python UI framework

https://google.github.io/mesop/
FineWeb: decanting the web for the finest text data at scale

The article introduces FineWeb, a Hugging Face project aimed at extracting high-quality text data from the web at scale. It highlights the methodology and tools used to ensure the gathered data is of the finest quality for training AI models, emphasizing the importance of clean and relevant text data for machine learning applications.

https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1