Comments by "carkawala khatulistiwa" (@carkawalakhatulistiwa) on "What Makes Large Language Models Expensive?" video.

  1. And PHI-2 with 2,7 B billion parameters. proves that we have spent a lot of time and money on computerization that is wasted because of bad data. with better data PHI-2 LLM can be equivalent to gpt 3 175 billion parameters . and there is still the possibility to reduce LLM to 1 billion parameters with the same capabilities
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