๐จ ๐๐๐๐ฉ๐๐๐๐ค ๐๐ฒ๐ฉ๐ ๐ข๐ฌ ๐ ๐๐๐ข๐ง๐ ! ๐๐๐ซ๐'๐ฌ ๐๐ก๐ฒ. ๐จ DeepSeek made waves with bold claims and strong benchmark scores. But now, the excitement is cooling down. Why? ๐ข ๐๐ฅ๐จ๐ฐ ๐ซ๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ ๐ญ๐ข๐ฆ๐๐ฌ โ Even basic prompts take too long, hurting user experience. ๐งช ๐๐๐๐ฅ-๐๐จ๐ซ๐ฅ๐ ๐๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ โ Performance in actual use cases doesnโt match the hype. ๐ค ๐๐ฏ๐๐ซ-๐ฉ๐ซ๐จ๐ฆ๐ข๐ฌ๐๐ โ Claimed to beat GPT-4, but feels closer to GPT-3.5 in reality. ๐ ๐๐๐๐ค ๐จ๐ ๐ญ๐ซ๐๐ง๐ฌ๐ฉ๐๐ซ๐๐ง๐๐ฒ โ Key training data and methods arenโt clearly shared. ๐ฌ ๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ ๐ฌ๐ค๐๐ฉ๐ญ๐ข๐๐ข๐ฌ๐ฆ โ Early buzz is turning into tough questions and criticism. Itโs a reminder: flashy scores donโt replace real-world value. Have you tried DeepSeek? Whatโs your experience? hashtag#AI hashtag#GenAI hashtag#DeepSeek hashtag#MachineLearning hashtag#LLMs hashtag#OpenSourceAI hashtag#ArtificialIntelligence hashtag#AICommunity hashtag#TechTrends hashtag#AIHype
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