Tesla’s sales are finally picking up

Tesla’s sales are finally picking up

Source: The Verge After two straight quarters of declines, Tesla’s vehicle sales are finally on the upswing. Tesla reported producing 469,796 vehicles over the three-month period that ended in September, a 9.1 percent increase compared to the third quarter of 2023. The company also reported delivering 462,890 vehicles to customers during Q3 of 2024, a 6.3…

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Beware! NSE warns of WhatsApp scamsters luring investors with shares at discounted prices after market hours | Stock Market News

Beware! NSE warns of WhatsApp scamsters luring investors with shares at discounted prices after market hours | Stock Market News

Source: Live Mint The National Stock Exchange has cautioned investors about a fraud entity known as Lazard Asset Management India. This entity operates through a WhatsApp group named ‘JO HAMBRO.’ Lazard Asset Management India, the fraud entity, allegedly offers shares at discounted prices and even lets investors buy shares after market hours. “Exchange has received…

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Stocks to buy: HCL Tech to BPCL—Stoxbox lists top seven ’star stocks’ to bet on in September; Check entry point, TP | Stock Market News

Stocks to buy: HCL Tech to BPCL—Stoxbox lists top seven ’star stocks’ to bet on in September; Check entry point, TP | Stock Market News

Source: Live Mint – StoxBox recommends buying ACC Ltd. at ₹2490, targeting ₹2700 with a stop loss at ₹2400. The stock is rebounding from a demand zone and has regained key moving averages. With a 32% capacity expansion and new limestone reserves, ACC is well-positioned to benefit from rising demand in housing and infrastructure. –…

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Google DeepMind researchers introduce new benchmark to improve LLM factuality, reduce hallucinations

Google DeepMind researchers introduce new benchmark to improve LLM factuality, reduce hallucinations

Source: Venture Beat Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hallucinations, or factually inaccurate responses, continue to plague large language models (LLMs). Models falter particularly when they are given more complex tasks and when users are looking for specific and highly detailed responses. …

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