KUALA LUMPUR, Nov 19 (Bernama) -- Bursa Malaysia gave up earlier gains to end mixed today, amid a higher regional market showing, as property, construction, and healthcare counters attracted buying interests, while plantation, banking, and telecommunication stocks saw some profit-taking, an analyst said. At 5 pm, the FTSE Bursa Malaysia KLCI (FBM KLCI) eased 1.70 points to close at 1,602.34 from yesterday’s close of 1,604.04. The benchmark index, which opened 0.86 of-a-point lower at 1,603.18, moved between 1,601.02 and 1,608.88 during the trading session. However, the broader market was mixed to higher, with gainers leading decliners by 565 to 438 while 502 counters remained unchanged, 961 untraded, and 14 suspended. Turnover narrowed to 2.83 billion units valued at RM2.08 billion versus 2.96 billion units valued at RM2.23 billion yesterday. Rakuten Trade Sdn Bhd equity research vice-president Thong Pak Leng said the benchmark index remained range-bound and it required a dec
Meta's Llama artificial intelligence (AI) models are being utilized by major companies, including Goldman Sachs and AT&T, for various business functions such as customer service, document review, and computer code generation. The Llama models, which are mostly available free of charge, have seen substantial uptake since their release.
Key Highlights:
Widespread Adoption: Meta's Llama models have been downloaded almost 350 million times since their public release last year, reflecting a significant increase from the 300 million downloads reported in late July when Meta launched the largest version of its Llama 3 model. Usage through cloud providers like Amazon Web Services and Microsoft Azure has more than doubled from May to July this year.
Strategic Positioning in AI: Meta CEO Mark Zuckerberg has emphasized that providing state-of-the-art AI models for free is a strategy to avoid reliance on competitors' closed technologies. He believes that keeping the Llama models open and continuously improving them will establish Llama as an industry standard.
Challenges and Limitations: Despite their capabilities in generating human-like text, Llama models still face challenges with logical tasks and factual accuracy, which affects their adoption in certain business contexts. However, Meta highlighted that large enterprises such as Japanese bank Nomura Holdings, food delivery service DoorDash, and professional services provider Accenture are experimenting with Llama, indicating its competitiveness with paid alternatives like those from OpenAI.
Meta's strategy of making its AI models freely available seems to be paying off, with significant usage by major companies and increasing integration via cloud providers, although the models continue to evolve to overcome certain limitations.
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