Don't wait until after turkey to grab these bargains. We may earn revenue from the products available on this page and participate in affiliate programs. Walmart has officially kicked off its Black Friday sales and there are literally thousands of products hitting their lowest prices of the year (and in some cases, ever). We know you don't have the time to sort through all those deals, but we do, so we've picked out the best bargains across a ton of different categories and put them in this list. Save on home goods, electronics, and just about anything else you could want to buy for yourself or as a holiday gift .

Large Language Models (LLMs) are being increasingly used as a building block in data systems to process large text datasets. To do so, LLM model providers offer multiple LLMs with different sizes, spanning various cost-quality trade-offs when processing text at scale. Top-of-the-line LLMs (e.g., GPT-4o, Claude Sonnet) operate with high accuracy but are prohibitively expensive when processing many records. To avoid high costs, more affordable but lower quality LLMs (e.g., GPT-4o-mini, Claude Haiku) can be used to process records, but we need to ensure that the overall accuracy does not deviate substantially from that of the top-of-the-line LLMs. The model cascade framework provides a blueprint to manage this trade-off, by using the confidence of LLMs in their output (e.g., log-probabilities) to decide on which records to use the affordable LLM. However, existing solutions following this framework provide only marginal cost savings and weak theoretical guarantees because of poor estimation of the quality of the affordable LLM's outputs. We present BARGAIN, a method that judiciously uses affordable LLMs in data processing to significantly reduce cost while providing strong theoretical guarantees on the solution quality. BARGAIN employs a novel adaptive sampling strategy and statistical estimation procedure that uses data and task characteristics and builds on recent statistical tools to make accurate estimations with tight theoretical guarantees. Variants of BARGAIN can support guarantees on accuracy, precision, or recall of the output. Experimental results across 8 real-world datasets show that BARGAIN reduces cost, on average, by up to 86% more than state-of-the-art, while providing stronger theoretical guarantees on accuracy of output, with similar gains when guaranteeing a desired level of precision or recall.

Policy Space Response Oracles (PSRO) interleaves empirical game-theoretic analysis with deep reinforcement learning (DRL) to solve games too complex for traditional analytic methods. Tree-exploiting PSRO (TE-PSRO) is a variant of this approach that iteratively builds a coarsened empirical game model in extensive form using data obtained from querying a simulator that represents a detailed description of the game. We make two main methodological advances to TE-PSRO that enhance its applicability to complex games of imperfect information. First, we introduce a scalable representation for the empirical game tree where edges correspond to implicit policies learned through DRL. These policies cover conditions in the underlying game abstracted in the game model, supporting sustainable growth of the tree over epochs. Second, we leverage extensive form in the empirical model by employing refined Nash equilibria to direct strategy exploration. To enable this, we give a modular and scalable algorithm based on generalized backward induction for computing a subgame perfect equilibrium (SPE) in an imperfect-information game. We experimentally evaluate our approach on a suite of games including an alternating-offer bargaining game with outside offers; our results demonstrate that TE-PSRO converges toward equilibrium faster when new strategies are generated based on SPE rather than Nash equilibrium, and with reasonable time/memory requirements for the growing empirical model.

Earlier today, The Atlantic's CEO, Nicholas Thompson, announced in an internal email that the company has entered into a business partnership with OpenAI, the creator of ChatGPT. Editorial content from this publication will soon be directly referenced in response to queries in OpenAI products. In practice, this means that users of ChatGPT, say, might type in a question and receive an answer that briefly quotes an Atlantic story; according to Anna Bross, The Atlantic's senior vice president of communications, it will be accompanied by a citation and a link to the original source. Other companies, such as Axel Springer, the publisher of Business Insider and Politico, have made similar arrangements. It does all feel a bit like publishers are making a deal with--well, can I say it?

Google announced Friday that it is releasing a course aimed at teaching one million Americans how to use artificial intelligence tools. As part of the rollout, the tech giant also announced that its charitable arm, Google.org, The new AI skills course will be available for 49 on Coursera, a for-profit online course provider. The announcement comes after Google scrapped its rules requiring suppliers and staffing firms it works with to provide good pay and benefits to their employees - along with laying off thousands of employees despite turning record profits. Google announced two new initiatives: One is a self-paced course on AI skills, the other is a grant program for AI job skills training.

When the board of OpenAI staged a bum mutiny last November, throwing out the company's leadership only to have the bosses return while board members were pressured to resign, something seemed rotten in the state of effective altruism. Nominally, OpenAI's mission had been to ensure that AI "benefits all of humanity." Fiduciarily, OpenAI's mission is to benefit the subset of humanity with a stake in OpenAI. And then, of course, there was Sam Bankman-Fried, the felonious altruist who argued in court last fall that his sordid crypto exchange was in fact a noble exercise in earning-to-give--making Midas money, sure, but only to funnel it to the global poor. This week he's facing a prison sentence of up to 50 years, which his legal team has complained paints him as a "depraved super-villain."

Kevin Sorbo and wife Sam Sorbo shared their concerns about artificial intelligence and why the actors strike is necessary as negotiations continue to be at a standstill between SAG-AFTRA and the AMPTP.

SHOPPING – Contains affiliated content. Products featured in this Mail Best article are selected by our shopping writers. If you make a purchase using links on this page, Dailymail.co.uk will earn an affiliate commission. Would you like a newly-improved Echo Dot that can wake you up, play music, audiobooks, answer your questions and more? Look no further than the Echo Dot (5th generation, 2022 release).

Sometimes, those who would forget history are condemned to repeat it. For those of us with long memories, the current fuss – nay hysteria – surrounding ChatGPT (and "generative AI" generally) rings a bell. We have been here before: in January 1966, to be precise. That was the moment when Joseph Weizenbaum, a computer scientist at MIT, unveiled Eliza, which would have been called the world's first chatbot if that term had existed at the time. Weizenbaum wrote the software (in a programming language intriguingly called MAD-SLIP) to demonstrate that communications between humans and computers were inevitably superficial.

Amazon Prime Day is now over - for July, anyway. According to leaked notices there may be another Prime Day deals extravaganza in Q4 later this year, as we reported earlier, but for now there are still plenty of discounts on everything from TVs to toys, and we've rounded up the best ones here. Jump to section: 1. Today's best deals 2. Amazon device deals 3. Back to school deals 4. TV deals 5. Laptop deals 6. Every choice on our list has been picked out by our expert editorial team here at TechRadar and we stand by our recommendations. We're well aware that everyone is feeling the pressure this year with inflation, gas prices, and many other household essentials becoming more expensive. We've made sure we've included bargains on a range of useful products that won't break the bank, as well as our old favorites like premium TVs. Where applicable, we'll always tell you if a Prime Day deal is at its lowest ever price or not too. Now that the main Amazon Prime Day 2022 sale is over, you no longer need to be a member to take advantage of today's offers. If you no longer want or need to keep your subscription going, make sure you find out how to cancel Amazon Prime while it's ongoing so you aren't charged for another month. With all that covered, let's head on into TechRadar's official list of the best Amazon Prime Day deals of 2022 that you can still buy. Apple Watch SE (40mm, GPS): $279 $219 at Amazon (opens in new tab) Save $70 - On a budget? We highly recommend the Apple Watch SE as the best smartwatch (opens in new tab) as the affordable iOS option. While it doesn't have as big of a screen or some of the advanced ECG and blood oxygen monitoring as the Apple Watch 7, the SE is still a great choice. It still has all those fitness, health, and lifestyle apps that the Apple Watches are famed for. Waterpik Aquarius dental flosser: $99.99 $54.99 at Amazon (opens in new tab) Save $45 - Amazon is currently offering this Waterpik Aquarius dental flosser for just over half price. It was $10 cheaper on Prime Day itself, but a 40% discount still isn't bad. It comes with 10 customization settings, a built-in timer to help you track flossing time and even a massage mode for gum stimulation.