SemanticScuttle - klotz.me

klotz: models* + machine learning*

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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. Language Models Perform Reasoning via Chain of Thought - Google AI Blog

   2023-04-02 Tags: language, models, reasoning, chain, thought, artificial intelligence, machine learning, natural language processing by klotz
3. What is the Purpose of Statistical Modelling? · Harvard Data Science Review

   2019-07-12 Tags: david_hand, statistics, philosophy_of_science, data, models, inference, machine learning, ai, mental models, explainability, epistemology, data structures, algorithms, knowledge representation by klotz
4. To Make Sense of the Present, Brains May Predict the Future | Quanta Magazine

   2018-08-09 Tags: neural network, models, brain, consistency by klotz

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