Tom Aarsen's picture

Tom Aarsen

tomaarsen

·

https://linkedin.com/in/tomaarsen

AI & ML interests

NLP: text embeddings, information retrieval, named entity recognition, few-shot text classification

Articles

Welcome Gemma 2 - Google's new open LLM

Training and Finetuning Embedding Models with Sentence Transformers v3

Blazing Fast SetFit Inference with 🤗 Optimum Intel on Xeon

Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval

🪆 Introduction to Matryoshka Embedding Models

SetFitABSA: Few-Shot Aspect Based Sentiment Analysis using SetFit

🕳️ Attention Sinks in LLMs for endless fluency

Organizations

tomaarsen's activity

upvoted a collection 1 day ago

Training with Prompts

See the Training with Prompts documentation for more details: https://sbert.net/examples/training/prompts/README.html • 5 items • Updated 5 days ago • 1

upvoted an article 8 days ago

Article

Releasing Common Corpus: the largest public domain dataset for training LLMs

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Mar 20

• 17

upvoted 2 collections 14 days ago

Model2Vec base models

These are the Minishlab Model2Vec base models. Load them and use them with model2vec (https://github.com/MinishLab/model2vec) or sentence-transformers • 7 items • Updated 14 days ago • 8

POTION

These are the flagship POTION models. Load them and use them with model2vec (https://github.com/MinishLab/model2vec) or sentence-transformers • 3 items • Updated 14 days ago • 6

upvoted an article 14 days ago

Article

Decoding Strategies in Large Language Models

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14 days ago

• 36

upvoted a paper 15 days ago

GPT-4o System Card

Paper • 2410.21276 • Published 18 days ago • 77

upvoted an article 16 days ago

Article

Visually Multilingual: Introducing mcdse-2b

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16 days ago

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upvoted 2 articles 21 days ago

Article

Releasing Outlines-core 0.1.0: structured generation in Rust and Python

22 days ago

• 39

Article

Transformers.js v3: WebGPU support, new models & tasks, and more…

22 days ago

• 58

upvoted a collection 21 days ago

Stable Diffusion 3.5

6 items • Updated 14 days ago • 85

upvoted an article 22 days ago

Article

Allegro: Advanced Video Generation Model

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22 days ago

• 55

upvoted a paper 22 days ago

AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published 23 days ago • 56

upvoted a collection 22 days ago

Granite 3.0 Language Models

A series of language models trained by IBM licensed under Apache 2.0 license. We release both the base pretrained and instruct models. • 8 items • Updated 8 days ago • 86

upvoted a collection 23 days ago

MedEmbed: Embedding Models for Medical Domain

GitHub -> https://github.com/abhinand5/MedEmbed • 4 items • Updated 22 days ago • 7

upvoted an article 23 days ago

Article

MedEmbed: Fine-Tuned Embedding Models for Medical / Clinical IR

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23 days ago

• 30

upvoted an article 25 days ago

Article

Mamba Out

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25 days ago

• 8

upvoted a collection 26 days ago

Thai-Supported Model2Vec Embedding Model

10 items • Updated 26 days ago • 1

upvoted a paper 26 days ago

Starbucks: Improved Training for 2D Matryoshka Embeddings

Paper • 2410.13230 • Published 27 days ago • 9

upvoted 2 articles 26 days ago

Article

How to build a custom text classifier without days of human labeling

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26 days ago

• 54

Article

How to optimize your data labelling project with custom interfaces

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28 days ago

• 18