SemanticScuttle - klotz.me

klotz: similarity* + machine learning* + text*

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1. Training and Finetuning Embedding Models with Sentence Transformers v3

   This article explains how to use the Sentence Transformers library to finetune and train embedding models for a variety of applications, such as retrieval augmented generation, semantic search, and semantic textual similarity. It covers the training components, dataset format, loss function, training arguments, evaluators, and trainer.

   2024-05-28 Tags: sentence transformers, finetune, embedding, models, similarity, llm, huggingface by klotz
2. Are GPTs Good Embedding Models

   A surprising experiment to show that the devil is in the details

   2024-05-19 Tags: gpt, embedding, machine learning, mteb leaderboard, nlp, similarity, cross entropy by klotz
3. OpenAI Embeddings API Benchmarking

   2022-01-31 Tags: openai, api, word embedding, embedding, nlp, use cases, similarity, clustering, topic modellinf by klotz
4. Documentation — gensim

   2021-09-24 Tags: gensim, tutorials, nlp, word2vec, doc2vec, fasttext, similarity, annoy, lda, machine learning by klotz
5. Embedding the Language of Football Using NLP | by Ofir Magdaci | Jun, 2021 | Towards Data Science

   2021-06-16 Tags: embedding, action, word2vec, soccer, sports, similarity, machine learning, text, nlp by klotz
6. Sentence Similarity With BERT | Towards Data Science

   2021-05-07 Tags: bert, pytorch, nlp, similarity, sentence by klotz
7. [P] Hey /r/ML, I made a research paper recommender for Machine Learning /Computer Science, and I would love for you to try it out! Uses embedding representation for each paper: you can get recommendations of a combo of several papers, and TSNE maps of the

   2018-09-15 Tags: machine learning, nlp, search, similarity, visualization by klotz
8. Document similarity – Using gensim Doc2Vec – Machine Learning practices

   2018-08-10 Tags: gensim, doc2vec, tutorial, document, similarity, nlp, data science, embedding by klotz

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