You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Lindsay Clancy's final texts to husband on day she killed her kids emerge as trial is shown video of family museum trip weeks before tragedy Trump administration steps into surrogate's battle over baby with a heart defect biological parents asked her to abort Record-breaking climber Jake Whisenant's grieving fiancee says'world has cruelly betrayed her' after his tragic death as she breaks silence on'cataclysmic loss' Oprah's frantically trying to distract from a looming Hollywood bombshell... the timeline is genuinely disturbing: MAUREEN CALLAHAN'Heinous' slurs about Lindsay Clancy's ex-husband Patrick explode... now his family speak out as murder trial grips America Killer's final act of cowardice as he is executed for rape and murder of five-year-old girl he insists he is forgiven for Matthew McConaughey reveals which blockbuster makes him the most residuals and it's not his Oscar winner Perez Hilton's horrifying first request from hospital bed after knife livestream: This is'the worst thing possible' say devastated insiders... who reveal star's dark childhood secret Abdul El-Sayed oversaw animal'slaughterhouse' as over 4,000 puppies and kittens killed under his watch'Perfectly fit' woman thought she had acid reflux... two hours later, she was dead. Fernando Mendoza sends NFL fans wild on Raiders debut as Tom Brady piles the pressure on No. 1 draft pick in the stands Shocking real reason Luigi Mangione is set to plead GUILTY... as defense attorney reveals all: 'There's a lot happening behind the scenes' Trump official's X-rated sex toy video with foreign agent she lives with in debauched'frat house'... read their wild texts Devastating full horror of Perez Hilton's knife livestream unravels: Friends reveal tragic life-long disfigurement... what star is admitting from hospital bed... and why he may now be locked up for YEARS Bill Gates' daughter Phoebe's embarrassing private messages revealed as her fashion app is embroiled in huge scandal Cash App founder's killer to argue he's victim of racial bias under California laws in desperate shot at freedom after murder conviction Charities issue urgent warning over'Frankenstein cats' including Scottish folds, Persians and new'XL bully' breeds Charities have issued an urgent warning over a wave of'Frankenstein cats' with extreme, unnatural features. Breeds such as the Scottish fold, Persians, Sphynx cats, and new ' XL bully ' cats have seen'booming popularity'. These popular breeds suffer from lifelong debilitating health issues that make it impossible for them to live a happy, healthy life.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen The Linux desktop's popularity is growing fast, and there are a few reasons why. The Linux desktop continues to grow in popularity. AI is a big reason why more people are turning to Linux. Web traffic analysis site StatCounter recently showed that desktop Linux had reached an all-time high of 10.65% in the North American desktop market . Many people, even many Linux fans, dismissed this proportion as fake news.

Many domain experts do not have the time or expertise to write formal Bayesian models. This paper takes an informal problem description as input, and combines a large language model and a probabilistic programming language to define a joint distribution over formal models, latent variables, and data. A posterior over latent variables follows by conditioning on observed data and integrating over formal models. This presents a challenging inference problem. We suggest an inference recipe that amounts to generating many formal models from the large language model, performing approximate inference on each, and then doing a weighted average. This is justified and analyzed as a combination of self-normalized importance sampling, MCMC, and importance-weighted variational inference. Experimentally, this produces sensible predictions from only data and an informal problem description, without the need to specify a formal model.

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From Amazon's to Netflix's upcoming, the recent spate of hetero hockey romances shows Hollywood learned the wrong lessons from The streaming industry has gotten a lot of flak over the past few years, but there is one thing that Hollywood studios are undeniably good at: recycling the same idea, over and over and over again until the world ends (or until everyone finally decides they're sick of, whichever comes first). This tried-and-true formula is now playing out in real time with Prime Video's and Netflix's upcoming series Icebreaker shows that, like are hockey-themed romances about polar opposites who just can't seem to keep their hands off each other. But there's one key difference: and are about heterosexual romances, while is about a secret gay relationship. And considering how much queerness played a role in's explosive popularity, it seems like the clamor for straight horny hockey content is another example of Hollywood just not getting the message. The forthcoming which Netflix announced this week, is about a figure skater who falls in love with a hockey player after they're forced to practice on the same rink.

Neural Information Processing Systems http://nips.cc/

Deep learning (DL) systems have been gaining popularity in critical tasks such as credit evaluation and crime prediction.

Retrieval-Augmented Generation (RAG) has recently emerged as a promising solution to alleviate Large Language Model (LLM)'s deficiency in lack of knowledge. Existing RAG datasets, however, do not adequately represent the diverse and dynamic nature of real-world Question Answering (QA) tasks. To bridge this gap, we introduce the Comprehensive RAG Benchmark (CRAG), a factual question answering benchmark of 4,409 question-answer pairs and mock APIs to simulate web and Knowledge Graph (KG) search. CRAG is designed to encapsulate a diverse array of questions across five domains and eight question categories, reflecting varied entity popularity from popular to long-tail, and temporal dynamisms ranging from years to seconds. Our evaluation on this benchmark highlights the gap to fully trustworthy QA.