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In a Sunday matinee at the United Center, the Chicago Bulls welcomed the Philadelphia 76ers in a battle of two franchises hovering around the soft, middle-underbelly of the NBA. Despite a solid first-half start by the Bulls, Joel Embiid eventually found his form in the second quarter of the game and fueled the 76ers' push to a 108-100 victory over the Bulls. On to the next one. Zach LaVine: 30 pts (10-21 FG) pic.twitter.com/dbubcdobFs A Glimpse of a Balanced Bulls Offense The Bulls opened the game against the Sixers with a pleasing balanced-shooting profile that featured the Bulls shooting 5/12 from the three-point line and 14 paint points in the first quarter. The Bulls finished the first quarter with a 10-point lead over the 76ers, 33-23. Zach LaVine was the Bulls leading scorer in the first quarter with 10 points. Just getting started. Zach LaVine: 10 points (3-5 FG) pic.twitter.com/UcuIw89KOS Joel Embiid Sons the Bulls Again Hope was in the air for the Bulls going into the second quarter as the game remained scoreless until the 9:53 minute mark of the period. From that point on, the 76ers kicked off a 7-0 scoring run that morphed into the Sixers feeding Embiid a healthy 8/12 (67%) shooting from the field in the second quarter. Joel Embiid is up to 15 PTS in the 2Q! PHI-CHI | NBA League Pass https://t.co/MEYHq5fpUM pic.twitter.com/C0UisfQ8ZL Embiid finished the game with an infamously signature stat line against the Bulls, with 31 points, 12 rebounds, four assists, and two blocks in the contest. Embiid had an INSTANT impact in his return! 31 PTS 12 REB 4 AST 2 BLK pic.twitter.com/LwRnU9WIAd Tug of War Second Half The 76ers fed off Embiid finding his form in the second quarter and carried that momentum and resilience against Bulls runs into the second half of the game. Philadelphia opened the third quarter with a 15-10 scoring run. Embiid fights through the contact PHI-CHI | 3Q | NBA League Pass https://t.co/MEYHq5eS5e pic.twitter.com/Kok2NyvmsR The Sixers started the third quarter with a modest 12-point lead over the Bulls, by the 8:16 minute mark of the period the 76ers added weight to their lead over the Bulls, 77-60. JALEN SMITH FROM HALFCOURT Bulls cut it to single digits entering the 4Q! PHI-CHI | NBA League Pass https://t.co/MEYHq5eS5e pic.twitter.com/E6luKfkbBS The Bulls fought as best they could to close their scoring deficit against the 76ers but Philadelphia never relinquished their lead during the second half of the game. The 76ers took care of business, 108-100. What's On Tap Next? The Bulls are set to enter an extended period without game action. Friday, Dec. 13, 2024, is the next Bulls game when they host the Charlotte Hornets at the United Center. Tip-off is at 7 p.m. CT and the game will air on Chicago Sports Network (CHSN) . This article first appeared on On Tap Sports Net and was syndicated with permission.Donald Trump says he can’t guarantee tariffs won’t raise US prices and won’t rule out revenge prosecutionsThere are some great Cyber Monday deals that are still going strong right now, with Amazon providing some extra special discounts. It’s no secret that TV deals, which have become synonymous with the Black Friday/Cyber Monday sale event, are one of the best items you can score major (and rare!) discounts on. The LG 50-inch QNED80 Series TV is no exception, thanks to its 22% discount, bringing its price down to just $548 for Cyber Monday . Its typical sticker price is $697, saving you a cool $149 when you shop now. Perfect for most homes, here’s everything you need to know about it before you dive into one of the better Cyber Monday TV deals out there. Why you should buy the LG QNED80 50-inch Mini-LED TV Not quite sure what mini-LED is? That’s ok. It’s effectively a premium backlight-based technology that builds on traditional LED-LCD tech. It does so by using LEDs that are much smaller and can be used in great numbers. That means you get an image with better, deeper blacks and a much better level of control over your TV’s brightness. With LG being one of the best TV brands around, it knows how to use such technology well. With the LG QNED80 50-inch Mini-LED TV, you get LG Quantum Dot NanoCell technology, which combines Quantum Dots with LG’s NanoCell technology so you get bright and colorful imagery. It has Dimming Pro, which dynamically adjusts the backlight to maintain deep black levels, while its native 120Hz refresh rate helps keep things super smooth. The LG a7 AI processor Gen6 helps to use AI to detect what you’re watching before automatically improving the picture and sound quality. There’s also LG’s Filmmaker mode, which helps you see films just how the director intends you to see them. An LG Game Optimizer provides a similar gaming experience. These are the features you see on the best TVs, so you’re in a good position here. For gaming, there are two HDMI 2.1 ports, so it’s ideal for hooking up the latest consoles. Think of it as a quality all-rounder without having to spend a fortune on a new TV. Normally costing $697, the LG QNED80 50-inch Mini-LED TV is down to $548 right now at Amazon. That’s a great price for a TV that is well-suited for most living rooms and situations. Take a look at it for yourself by tapping the button below.
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Tired of thinking about what gifts to get everyone this year? Artificial intelligence chatbots might help, but don't expect them to do all the work or always give you the right answers. Anyone scouring the internet for Cyber Monday deals is likely going to encounter more conversational iterations of the chatbots that some retailers and e-commerce sites have built to provide shoppers with enhanced customer service. Some companies have integrated models infused with newer generative AI technologies, allowing shoppers to seek advice by asking naturally phrased questions like “What's the best wireless speaker?” Retailers hope consumers use these chatbots, which are typically called shopping assistants - as virtual companions that help them discover or compare products. Prior chatbots were mostly used for task-oriented functions such as helping customers track down online orders or return ones that didn't meet expectations. Amazon, the king of online retail, has said its customers have been questioning Rufus - the generative AI- powered shopping assistant it launched this year - for information such as whether a specific coffee maker is easy to clean, or what recommendations it has for a lawn game for a child's birthday party. And Rufus, which is available for holiday shoppers in the U.S. and some other countries, is not the only shopping assistant out there. A select number of Walmart shoppers will have access this year to a similar chatbot the nation's largest retailer is testing in a few product categories, including toys and electronics. Perplexity AI added something new to the AI chat-shopping world last month by rolling out a feature on its AI-powered search engine that enables users to ask a question like “What's the best women's leather boots?" and then receive specific product results that the San Francisco-based company says are not sponsored. “It has been adopted at pretty incredible scale,” Mike Mallazzo, an analyst and writer at retail research media company Future Commerce, said. Retailers with websites and e-commerce companies started paying more attention to chatbots when use of ChatGPT, an artificial intelligence text chatbot made by the company OpenAI, went mainstream in late 2022, sparking public and business interest in the generative AI technology that powers the tool. Victoria’s Secret, IKEA, Instacart and the Canadian retailer Ssense are among other companies experimenting with chatbots, some of which use technology from OpenAI. Even before the improved chatbots, online retailers were creating product recommendations based on a customer's prior purchases or search history. Amazon was at the forefront of having recommendations on its platform, so Rufus' ability to provide some is not particularly groundbreaking. But Rajiv Mehta, the vice president of search and conversational shopping at Amazon, said the company is able to offer more helpful recommendations now by programming Rufus to ask clarifying or follow-up questions. Customers are also using Rufus to look for deals, some of which are personalized, Mehta said. To be sure, chatbots are prone to hallucinations, so Rufus and most of the tools like it can get things wrong. Juozas Kaziukenas, founder of e-commerce intelligence firm Marketplace Pulse, wrote in a November blog post that his firm tested Rufus by requesting gaming TV recommendations. The chatbot's response included products that were not TVs. When asked for the least expensive options, Rufus came back with suggestions that weren't the cheapest, Kaziukenas said. An Associated Press reporter recently asked Rufus to give some gift recommendations for a brother. The chatbot quickly spit out a few ideas for “thoughtful gifts," ranging from a T-shirt and a keychain with charms to a bolder suggestion: a multifunctional knife engraved with the phrase “BEST BROTHER EVER.” After a 5-minute written conversation, Rufus offered more tailored suggestions - a few Barcelona soccer jerseys sold by third-party sellers. But it wasn’t able to say which seller offered the lowest price. When asked during another search for a price comparison on a popular skin serum, Rufus showed the product's pre-discounted price instead of its present one. “Rufus is constantly learning,” Amazon's Mehta said during an interview. Shop AI, a chatbot that Canadian e-commerce company Shopify launched last year, can also help shoppers discover new products by asking its own questions, such as soliciting details about an intended gift recipient or features the buyer wants to avoid. Shop AI has trouble, however, recommending specific products or identifying the lowest-priced item in a product category. The limitations show the technology is still in its infancy and has a long way to go before it becomes as useful as the retail industry - and many shoppers - wish it could be. To truly transform the shopping experience, shopping assistants will “need to be deeply personalized” and be able - on their own - to remember a customer’s order history, product preferences and purchasing habits, consulting giant McKinsey & Company said in an August report. the McKinsey report said. Amazon has noted that Rufus' answers are based on information contained in product listings, community Q&As and customer reviews, which would include the fake reviews that are used to boost or diminish sales for products on its marketplace. The large language model that powers the chatbot was also trained on the company's entire catalog and some public information on the web, Trishul Chilimbi, an Amazon vice president who oversees AI research, wrote in the electrical engineering magazine IEEE Spectrum in October. But its unclear how Amazon and other companies are weighting different training components - such as reviews - in their recommendations, or how exactly the shopping assistants come up with them, according to Nicole Greene, an analyst at management consulting firm Gartner. Perplexity AI's new shopping feature allows users to enter search queries such as “best phone case" and to receive answers derived from various sources, including Amazon and other retailers, such as Best Buy. Perplexity also invited retailers to share data about their products and said those that do would have an increased chance of having their items recommended to shoppers. But Perplexity CEO Aravind Srinivas, suggested in a recent interview with Fortune magazine that he didn't know how the new shopping feature recommended products to customers. But in an interview with the AP, Chief Business Officer Dmitry Shevelenko pushed back on that characterization, saying Srinivas' comment “was probably taken out of context.” The context, he said, is that with generative AI technology “You can’t know in advance exactly what the output will be just based off of knowing what the inputs” are from the training materials. Shevelenko said retailers and brands need to know they can't have their products recommended in Perplexity's search engine because they're “jamming key words” into their websites or using different techniques to show up better on search results “The way you show up in an answer is by having a better product and better features,” he said.