‘It’s Alarming’: Michigan Cop Blamed ‘Too Many Minorities’ After Pepper-Spraying Two Young Black Men, Then the Video Blew Up Her Racist Excuse
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A woman from Drew County, Arkansas, is sharing her story of being acquitted of drug possession, and she’s now questioning the ASP trooper who arrested her.
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When Supply Chains Become Autonomous
A new simulation demonstrates how these might work—and how leadership will need to change to succeed with them.
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A Coding Implementation of a Complete Hierarchical Bayesian Regression Workflow in NumPyro Using JAX-Powered Inference and Posterior Predictive Analysis
In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a probabilistic model that captures both global patterns and group-level variations. Through each snippet, we set up inference using NUTS, analyze posterior distributions, and perform posterior predictive checks to understand how well our model captures the underlying structure. By approaching the tutorial step by step, we build an intuitive […]
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Empromptu raises $2M pre-seed to help enterprises build AI apps
Empromptu claims all a user has to do is tell the platform’s AI chatbot what they want — like a new HTML or JavaScript app — and the AI will go ahead and build it.
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Scaling, Optimization & Cost Reduction for LLM/RAG & Enterprise AI
Live session with Vincent Granville, Chief AI Architect and Co-founder at BondingAI. Scaling databases is a tricky balance. Teams need speed and reliability, but costs keep rising. From runaway infrastructure bills to overprovisioned clusters and slow queries, companies often spend more without seeing better performance. Join for a practical session on how to reduce database total cost of ownership (TCO) without sacrificing performance. Vincent will share strategies that leading organizations are using to control costs, optimize systems, and […]
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How we’re bringing AI image verification to the Gemini app
Our new Gemini app feature allows you to verify Google AI images and determine whether content was created or edited by AI.
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Deepening our partnership with the UK AI Security Institute
Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
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Language Models: A 75-Year Journey That Didn’t Start With Transformers
Introduction Language models have existed for decades — long before today’s so-called “LLMs.” In the 1990s, IBM’s alignment models and smoothed n-gram systems trained on hundreds of millions of words set performance records. By the 2000s, the internet’s growth enabled “web as corpus” datasets, pushing statistical models to dominate natural language processing (NLP). Yet, many believe language modelling began in 2017 with Google’s Transformer architecture and BERT. In reality, Transformers revolutionized scalability but were just one step in a much […]
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How to Speed-Up Training of Language Models
This article is divided into four parts; they are: • Optimizers for Training Language Models • Learning Rate Schedulers • Sequence Length Scheduling • Other Techniques to Help Training Deep Learning Models Adam has been the most popular optimizer for training deep learning models.
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