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🏁 Benchmark: snapDOM vs html2canvas Each library will capture the same DOM element to canvas 5 times. We'll calculate average speed and show the winner. This is the benchmark test element to be captured by both libraries. Run Benchmark
🏁 Benchmark: snapDOM vs html2canvas Each library will capture the same DOM element to canvas 5 times. We'll calculate average speed and show the winner. This is the benchmark test element to be captured by both libraries. Run Benchmark
1. Model Overview We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combined with a lightning attention mechanism. The model is developed based on our previous MiniMax-Text-01 model, which contains a total of 456 billion parameters with 45.9 billion parameters activated per token. Consistent with MiniMax-Text-01, the M1 model natively supports a context length of 1 million
Benchmark corpus To compile our benchmark corpus, we utilized a broad list of sources (Methods), ranging from completely novel, manually crafted questions over university exams to semi-automatically generated questions based on curated subsets of data in chemical databases. For quality assurance, all questions have been reviewed by at least two scientists in addition to the original curator and automated checks. Importantly, our large pool of questions encompasses a wide range of topics and que
Something to look forward to: A mysterious "Nvidia N1x" Arm processor recently appeared on Geekbench with a single-core score of 3,096 and an 18,837 multi-core score. The result provides some of the earliest concrete evidence of Nvidia's long-rumored upcoming SoC. Word is that Nvidia has been developing an Arm-based processor for the past few years. Despite a teaser released last year in collaboration with Dell and the January unveiling of Nvidia's Arm workstation, a consumer-level product has