Text, speech, translation, and retrieval with modern NLP techniques.
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Three cross-linguistic case studies are presented: Right Node Raising, syntactic amalgams, and Right Dislocation. - What can focus association tell us about the syntax of silence? There are several pathways for syntactic structures to be “silent” in the course of derivation:…
Researchers in Türkiye used small language models and retrieval-augmented web search to generate new features for tabular data classification, reaching F1 scores of up to 0.848.
Job Application for Ground Software Engineering Intern (Summer 2027) at Muon Space Greenhouse Ground Software Engineering Intern (Summer 2027) Muon is seeking Ground Software Engineering Interns to help build the software that powers high-performance satellite constellations. The Software Engineering team at Muon…
Kled Raises $10M in Funding What’s in the collection and how it’s delivered. Where this data comes from and how it’s licensed. Rights-cleared at the source. Uploaded directly by our contributor network. Every file comes straight from the contributor who provided…
The basics of how LLMs work, from tokens and Transformers to prompting and RAG. Large Language Models, or LLMs, are becoming a part of everyday life. We use AI tools to ask questions, learn new concepts, write code, summarize documents,…
A new review maps how Transformer architectures, from temporal and spatial attention models to self-supervised brain foundation models, are reshaping fMRI analysis and clinical neuroscience. Transformers Are Rewriting How We Read the Human Brain Subject of Research: Transformer-based machine learning…
Computer vision is one of the foundational subfields of AI. The goal is simple to state and hard to achieve: give a machine the ability to look at the physical world, an image or a video and, and actually understand…
Train on 1,024 tokens. Test on 2,048. Get the same perplexity as a model that was trained on … Exploring modern AI research, neural network architectures, and efficient model deployment from first principles. Writing for engineers and researchers. ALiBi: The Positional Encoding That…
Keyword search matches letters. What we want is something that matches meaning. Today we build exactly that, and along the way you’ll learn the idea that quietly powers search engines, recommendations, and every RAG system you’ll ever build. Guess before…
What a 2005 face verification paper teaches us about what neural networks learn to care about You can find the model implementation here Notice what makes this hard. You are not being asked to name the person. You are not being…