Ask HN: AI/ML papers to catch up with current state of AI?

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • arxiv-sanity-lite

    arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

  • Once a week (at least!) some research group publishes another review paper to the cs.AI section on ArXiv. Look for new [papers with "survey" in the title](https://arxiv-sanity-lite.com/?q=survey&rank=time&tags=cs.AI...). You'll get surveys on every conceivable subtopic of ML/AI.

  • stanford_alpaca

    Code and documentation to train Stanford's Alpaca models, and generate the data.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • LongLoRA

    Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

  • LongAlpaca / One of many ways to extend context, and a useful dataset / https://arxiv.org/abs/2309.12307

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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