An Overview of RAG | MLinguist

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  • Опубліковано 11 вер 2024
  • Thanks for watching! Reference links to libraries will be in the pinned comment.

КОМЕНТАРІ • 4

  • @MLinguist
    @MLinguist  28 днів тому

    Reference Links:
    pandas.pydata.org/
    openrefine.org/
    www.nltk.org/
    spacy.io/
    scikit-learn.org/stable/index.html
    huggingface.co/ --> search for model you'd like to use
    www.elastic.co/elasticsearch
    docs.llamaindex.ai/en/stable/
    solr.apache.org/
    ai.meta.com/tools/faiss/
    docs.trychroma.com/
    pypi.org/project/rank-bm25/
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html

  • @driksarkar6675
    @driksarkar6675 21 годину тому

    Just curious, when can we expect your next video to come out? I know that school just started in many places, so if you delay it.

  • @arjunram7731
    @arjunram7731 26 днів тому

    Will briefly studying these computational methods help with NACLO or is there a completely different reason to this video? Either way, thanks for the videos!

    • @MLinguist
      @MLinguist  25 днів тому

      Hi! This video is intended to be more of an explanation of a Computational Linguistics concept itself. I have had instances during my prep where knowing a Comp Ling concept has helped me understand the context of a problem faster, but I wouldn't say it's necessary to study these concepts for NACLO prep. I just like Comp Ling and study this for fun, so wanted to share it with you all!