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Items tagged python, embeddings in 2023

Filters: Year: 2023 × python × embeddings × Sorted by date


Fleet Context. This project took the source code and documentation for 1221 popular Python libraries and ran them through the OpenAI text-embedding-ada-002 embedding model, then made those pre-calculated embedding vectors available as Parquet files for download from S3 or via a custom Python CLI tool.

I haven’t seen many projects release pre-calculated embeddings like this, it’s an interesting initiative. # 15th November 2023, 10:20 pm

Bottleneck T5 Text Autoencoder (via) Colab notebook by Linus Lee demonstrating his Contra Bottleneck T5 embedding model, which can take up to 512 tokens of text, convert that into a 1024 floating point number embedding vector... and then then reconstruct the original text (or a close imitation) from the embedding again.

This allows for some fascinating tricks, where you can do things like generate embeddings for two completely different sentences and then reconstruct a new sentence that combines the weights from both. # 10th October 2023, 2:12 am

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