How to extract vector embeddings from passages analyzed with LLaMA

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  • vanilla-llama

    Plain pytorch implementation of LLaMA

  • I shouldn't have any trouble with the second step, but I'm not sure how to get started on the first one. I found a Python package for interfacing with LLaMA, but its examples focus on just generating text, and I'm not sure how I would actually get embedding vectors or anything beyond text generation. Ideally, I would like to not even just create embedding vectors but rather directly hook up some new layers to LLaMA for supervised learning.

  • 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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