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The Coverage Principle: How Pre-Training Enables Post-Training
arXiv:2510.15020v2 Announce Type: replace-cross Abstract: Language models demonstrate remarkable abilities when pre-trained on large text...
The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
arXiv:2601.07806v1 Announce Type: new Abstract: The increased use of Large Language Models (LLMs) in sensitive...
The Complete Guide to Vector Databases for Machine Learning
Vector databases have become essential in most modern AI applications...
The Complete Guide to Pydantic for Python Developers
Python’s flexibility with data types is convenient when coding, but it can lead to runtime...
The Complete Guide to Inference Caching in LLMs
Calling a large language model API at scale is expensive and slow...
The Complete Guide to Data Augmentation for Machine Learning
Suppose you’ve built your machine learning model, run the experiments, and stared at the results...
The case for fixing everything
The handsome new book Maintenance: Of Everything, Part One, by the tech industry legend Stewart...
The case for embedding audit trails in AI systems before scaling
With more AI applications and agents going into production, enterprises need robust and auditable AI...
The building legal case for global climate justice
The United States and the European Union grew into economic superpowers by committing climate atrocities...
The Belief State Transformer
arXiv:2410.23506v3 Announce Type: replace-cross Abstract: We introduce the “Belief State Transformer”, a next-token predictor that...
The Bay Area’s animal welfare movement wants to recruit AI
In early February, animal welfare advocates and AI researchers gathered in stocking feet at Mox...
The battle to AI-enable the web: NLweb and what enterprises need to know
Microsoft’s NLWeb protocol transforms websites into AI-powered apps with conversational interfaces.Read More...
