What’s Actually Inside 24,723 Tokens of a Search Result? We Broke It Down, Field by Field
Sponsored Content It’s no secret that AI agents burn massive amounts of tokens on search results and file retrievals. They pull in…
Sponsored Content It’s no secret that AI agents burn massive amounts of tokens on search results and file retrievals. They pull in…
In this article, you will learn how a vector database works under the hood by building one from scratch in ten incremental steps using Python…
Activation steering has emerged as a powerful method for guiding the behavior of generative models towards desired outcomes such as toxicity mitigation. However, most existing methods apply interventions uniformly across all inputs, degrading model performance when steering is unnecessary. We introduce Dynamically Scaled Activation Steering (DSAS), a method-agnostic steering framework that decouples when to steer …
Introducing composable, module system native and agent friendly command line tools for modern Java development By Danny Thomas, JVM Ecosystem Team Recent work on the Java language to pave the on-ramp has made it easier than ever to start a Java program and evolve it using the full language and platform. At the end of …
Generative AI inference is uniquely hard: models are tens to hundreds of gigabytes, latency requirements are measured in tokens per second, cold starts can span multiple minutes as containers and weights transfer, GPU capacity is constrained, and traditional monitoring tools expose none of the token-level signals that matter in production. Amazon SageMaker AI offers customers …
Read more “Amazon SageMaker Inference: 2026 year-to-date launches in review”
AI is accelerating software development at an unprecedented pace. But as code generation scales, so do the challenges of securing the code, especially emerging AI-based vulnerability exploitations. To meet these challenges, the Google AI and Infrastructure team is transforming how we approach security. In this article, we discuss new AI-native agentic methods that we’ve developed …
Read more “Changing the game: Using agentic AI to secure infrastructure code”
The Ultra 4 gets smarter about health tracking and lasts longer between charges. But for most people, the Series 12 gets close enough.
A research team from The Hong Kong University of Science and Technology (HKUST) has developed a new modeling and optimization framework that helps researchers design modularized autonomous experimentation (MAE) platforms for new materials by determining the optimal combination of equipment before construction begins, thereby reducing time and cost before the platform is physically built.
But unfortunately some of the icons goes missing. Didn’t exactly follow the prompt either. Prompt (10 sec each) – subject_definitions: <Subject 1> is the centered young woman from <Picture 1>, preserving her exact facial identity, shoulder-length dark hair, natural skin appearance, oversized cream sweatshirt with the cat illustration and visible text “Good Night”, plaid pajama …
In this article, you will learn how to build a multilingual text classification pipeline using multilingual large language model (LLM) embeddings and Scikit-learn, without training…