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Current LLMs show low user trust, low accuracy and reliability. This is not a new conversation as the reasoning and logical problems with current LLMs have been brought up several
Current LLMs show low user trust, low accuracy and reliability. This is not a new conversation as the reasoning and logical problems with current LLMs have been brought up several
It’s concerning that while our most advanced models can win a silver medal in a Math Olympiad, they can also fail to answer a simple question.
AI’s journey towards excellence in mathematics is marked by both impressive breakthroughs and persistent challenges.
Advancements in hardware (H100 GPUs), software (CUDA, cuBLAS, cuDNN, FlashAttention), and data quality have drastically reduced training costs.
FunLLM’s SenseVoice offers multilingual ASR, emotion recognition, and audio event detection, while CosyVoice excels in multilingual voice generation and cross-lingual voice cloning.
“By the time those teens get into adulthood, it will be the present-day LLM startups that become obsolete.”
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