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8 Things You Should Know About Large Language Models


With a surge in the development of natural language processing and its usage in business, there is a growing interest in large language models.


These models are used to explore the nuances of natural language, improve the ability of machines to comprehend and generate text and automate tasks such as voice recognition and machine translation. Here are eight essential things that you should know about large language models (LLM).


  • LLMs are more “capable” as costs keep rising.

  • A quick look at how GPT models adapt as training costs rise.

  • LLMs learn to play board games by using representations of the outside world.

  • There is no easy solution to managing LLM.

  • Experts have trouble explaining how the LLM works.

  • LLMs are just as capable as humans.

  • LLMs must be more than just ”jack-of-all-trades”.

  • Models are ‘smarter’ than people think based on first impressions.




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