The Complete Guide to Using Pydantic for Validating LLM Outputs
Large language models generate text, not structured data.
Large language models generate text, not structured data.
Automated interpretability aims to translate large language model (LLM) features into human understandable descriptions. However, these natural language feature descriptions are often vague, inconsistent, and require manual relabeling. In response, we introduce semantic regexes, structured language descriptions of LLM features. By combining primitives that capture linguistic and semantic feature patterns with modifiers for contextualization, composition, …
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Just a few short weeks ago, Google debuted its Gemini 3 model, claiming it scored a leadership position in multiple AI benchmarks. But the challenge with vendor-provided benchmarks is that they are just that — vendor-provided. A new vendor-neutral evaluation from Prolific, however, puts Gemini 3 at the top of the leaderboard. This isn’t on …
BMW’s first car on its new EV platform has finally arrived. But will a big range, thumping charging tech, and a new driving brain that aims to deliver the ultimate ride be enough to beat China?
Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.
The first image of every set is the upscaled one, and the second image of every set is the original one. And upscaling is so SIMPLE—just Ultimate SD Upscaled with 0.20 denoise in ComfyUI. I am genuinely FLOORED by this. So many prompts I wanted to try (especially the building one) that no other model …
Agentic AI is changing how we interact with machines.
Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
Continuous cardiovascular monitoring can play a key role in precision health. However, some fundamental cardiac biomarkers of interest, including stroke volume and cardiac output, require invasive measurements, e.g., arterial pressure waveforms (APW). As a non-invasive alternative, photoplethysmography (PPG) measurements are routinely collected in hospital settings. Unfortunately, the prediction of key cardiac biomarkers from PPG instead …
The GKE Turns 10 Hackathon was an electrifying showcase of developer ingenuity! Building on the excitement from our initial announcement, the hackathon challenged participants to build powerful AI agents that interact with microservice applications using the robustness of Google Kubernetes Engine (GKE) and the intelligence of Google AI models like Gemini. The goal was to …
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