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Forrest | Funix.io | 🇺🇸 🇺🇦
@forrestbao
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Machine Learning at Vectara, Inc. and founder of https://t.co/GVshKUqJ4w | AI/NLP. | zh-TW and en-US. God bless Ukraine!
USA
Joined July 2020
RT @AmbJohnBolton: It is unconscionable to allow Russia to assault Ukraine’s sovereignty, recruit enemies like North Korea to aid in their…
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@ukrainiansquad As an American, I am deeply sorry that we elected an asshole who abandoned you.
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RT @RpsAgainstTrump: Trump’s former national security adviser, John Bolton: “Putin couldn't be happier. I tell you, they're drinking vodk…
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RT @_vicwong: 川普影响全世界 我早就说过,他的上台会把整个世界带入黑暗时代。 这个星期,川普停止了自上世纪 70 年代起,美国就开始实施的 《外国腐败行为法》(FCPA)。 美其名曰,提高美国公司在全球的竞争力,实际上却是在向全世界宣告:美国人也可以玩“台底…
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RT @SenAdamSchiff: Today, President Trump called our enemy, Russia, before calling our ally, Ukraine. Meanwhile, his Secretary of Defense…
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RT @Mike_Pence: Mr. President, Ukraine will only “be Russian someday” if the United States abandons them to Putin’s brutal invasion. As you…
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RT @xleaps: There are two kinds of people. One believes that an LLM who can complete “In a beautiful sunny day, the sky is ___” with word…
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RT @YashengHuang: America is in its most perilous situation. Forget about economic growth or inflation; these are almost incidental and soo…
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RT @dim0kq: The story of $174 billion sent to Ukraine as aid is a myth, says Special Representative Kellogg. ▫️ The U.S. has provided only…
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RT @VivekGRamaswamy: China graduates 5x more STEM students than the U.S., but they also have a higher percentage (41%) of their students in…
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The great reasoning power of DeepSeek-R1 may come at the cost of faithfulness. While being more logical, R1 is more hallucinating than V3. But it may not be the case for GPT-o1.
DeepSeek-R1 is Smarter—but at what cost? - Deepseek-R1 Hallucinates More Than DeepSeek-V3! DeepSeek-R1 has made waves in the AI world with its impressive reasoning capabilities and open-source release. But how does it fare in terms of hallucination rate? Our latest research at Vectara reveals a surprising 4x increase in hallucination rate compared to its predecessor, DeepSeek-V3. Using Vectara’s HHEM model and Google’s FACTS evaluation, we found that higher reasoning ability may come at the cost of faithfulness—but does it have to? Our analysis dives into whether hallucination is an inevitable tradeoff for reasoning models and how better training could mitigate this issue. 📊 Read the full breakdown by Forrest Sheng Bao (@forrestbao), Ofer Mendelevitch (@ofermend), and Chenyu Xu: @deepseek_ai
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RT @junxian_he: We replicated the DeepSeek-R1-Zero and DeepSeek-R1 training on 7B model with only 8K examples, the results are surprisingly…
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