Sheriff suspended, indicted after confrontation with another officer
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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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EU launches antitrust probe into Google’s AI search tools
The European Commission is investigating Google over its AI summaries.
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I Let an AI Take Over My Downloads Folder… and It Actually Worked
Author(s): Manash Pratim Originally published on Towards AI. A tiny local language model now organizes my files in real time for free, offline, and with zero rules. My Downloads folder used to feel like a crime scene. iMAGE GENERATED USING AIThe article discusses the author’s experience with automating the organization of their Downloads folder using a local AI agent that analyzes new files and categorizes them appropriately without any predetermined rules. The system consists of a few components […]
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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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Learn more about AI in the workplace in our new research report.
A new global survey of executives, decision makers and knowledge workers reveals that organizations truly transforming with AI are seeing real results that move their bu…
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Unveiling the BLEU Score: Your Guide to Judging Machine Translation Quality
Author(s): VARUN MISHRA Originally published on Towards AI. Unveiling the BLEU Score: Your Guide to Judging Machine Translation Quality Machine translation has come a long way, from clunky rule-based systems to sleek neural models like Transformers. But how do we know if a machine’s translation is any good? Enter the BLEU score — a go-to metric for evaluating machine translation quality. Short for Bilingual Evaluation Understudy, BLEU is like a judge that compares a machine’s output to human […]
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Emergent Introspective Awareness in Large Language Models
An overview, summary, and position of cutting-edge research conducted on the emergent topic of LLM introspection on self internal states
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Simpler models can outperform deep learning at climate prediction
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better. The team demonstrates that, in certain climate scenarios, much simpler, physics-based models can generate more accurate predictions than state-of-the-art deep-learning models. Their analysis also reveals that a benchmarking technique commonly used to evaluate machine-learning techniques for climate predictions can be distorted by natural variations in […]
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