GPT-3 vs GPT-Neo / GPT-J for startup classification

This page summarizes the projects mentioned and recommended in the original post on /r/GPT3
NLP Python few-shot-learning Search Machine Learning

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  • txtai

    💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

    • If its a classification task, try a zero shot classifier: https://github.com/neuml/txtai/blob/master/examples/07_Apply_labels_with_zero_shot_classification.ipynb

  • setfit

    Efficient few-shot learning with Sentence Transformers

  • 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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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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