[HN Gopher] A Visual Intro to Large Language Models
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       A Visual Intro to Large Language Models
        
       Author : jalammar
       Score  : 11 points
       Date   : 2021-11-22 13:04 UTC (2 days ago)
        
 (HTM) web link (docs.cohere.ai)
 (TXT) w3m dump (docs.cohere.ai)
        
       | jalammar wrote:
       | Hi HN,
       | 
       | This is the first in a series of articles I'm writing to
       | introduce devs to practical applications of large NLP language
       | models (for text generations like GPT and for language
       | understanding like BERT).
       | 
       | I have been connecting the dots between the capabilities of these
       | models and their business application. I still believe we're in
       | the beginning of grasping the amount of potential value we can
       | extract from these models. Happy to get to share these as I learn
       | them from my exposure to the problem space.
       | 
       | Some of the key visual language I'm aiming to simplify is that of
       | "prompts" and their use to shape model output (leading to
       | practical applications). In this post, a key visual is [1] which
       | shows an example of a summarization prompt and [2] showing a
       | high-level process of "prompt engineering".
       | 
       | Would appreciate your feedback!
       | 
       | [1] https://docs.cohere.ai/img/intro-llms/language-model-
       | prompt.... [2] https://docs.cohere.ai/img/intro-llms/prompt-
       | engineering-and...
        
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       (page generated 2021-11-24 23:01 UTC)