Nebula has a largest score jump ever on lmarena
MACHINE LEARNING
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Gemini 2.5 Pro outperforms o3-mini-high on reasoning tasks
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Gemini 2.5 Pro evals Looks like it has a much better performance at reasoning tasks than o3-mini-high.
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Nebula achieves the largest score jump ever on lmarena
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Nebula has a largest score jump ever on lmarena
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Claude 2.5 Pro Achieves New SOTA Across AI Benchmarks
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2.5 Pro sets new SOTA capabilities across benchmarks, including: — 18.8% on Humanity's Last Exam — 63.8% on SWE-Bench Verified (agentic coding)
— GPQA Diamond and AIME 2025 (STEM)
— Long-context and visual reasoning -

Google Releases Gemini 2.5 Pro, New SOTA AI Model
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BREAKING: Google just dropped Gemini 2.5 Pro, their most intelligent AI model yet.
— Rowan Cheung (@rowancheung) 25 mars 2025
The release debuts at No. 1 on LMArena, and brings new SOTA capabilities across benchmarks for coding, math, science, and more.
More info & demos below: pic.twitter.com/FGpro8gCbwBREAKING: Google just dropped Gemini 2.5 Pro, their most intelligent AI model yet. The release debuts at No. 1 on LMArena, and brings new SOTA capabilities across benchmarks for coding, math, science, and more. More info & demos below:
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Use case where a model excels in testing
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For which use case would you say it performs much better than other models? Testing time
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Google Introduces Gemini 2.5 Pro Experimental Model
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Introducing Gemini 2.5, our most intelligent model with impressive capabilities in advanced reasoning and coding. Now integrating thinking capabilities, 2.5 Pro Experimental is our most performant Gemini model yet. It’s #1 on @lmarena_ai leaderboard.
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Abhi Ingle Joins as Chief Product Strategy Officer
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Welcome Abhi Ingle as our new Chief Product & Strategy Officer! Why we're pumped: 30+ years of scaling giants like @Qualtrics & @ATT Brewing AI/ML automation moonshots (with a SaaS chaser) Leading teams that turn “meh” into market-shaking Advising us for 2 years
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Gemini 2.5 Pro thinking model theory questioned
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Got Gemini 2.5 Pro as well, and it disappeared afterwards. It may happen that, in this case, earlier reports on it being a Thinking model may not be true. This would mean that the response came from a different model and not 2.5 Pro.
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Building LLMs from Scratch: Coding Attention Mechanisms
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Build an LLM from Scratch 3: Coding attention mechanisms https://
buff.ly/bWIRCO2
#AI #MachineLearning #DeepLearning #LLMs #DataScience
