1 Large Language Models

 

Whenever a new, potentially disruptive technology emerges—or an existing one undergoes a radical change—there's an inevitable hype about it. This hype can result in a swift drop in interest if expectations aren't met or, conversely, lead to a rapid increase in investments and projects before its true business potential and associated risks are fully understood. Either way, nothing good would come out from a new big thing. You can observe the same happening nowadays to Large Language Models (LLMs): huge hype about them which makes it difficult to understand what they really can do (and cannot do) and if they really could be a good fit for some of your own business needs. But hype is the only thing you wouldn’t find in this book. This chapter aims to clarify the LLM world by highlighting pros, risks and challenges of both generalist and domain-specific models.

1.1 10000 feet overview

 

1.2 The Transformer Architecture

 

1.3 Evolutions of Transformers

 
 

1.4 Areas of application

 
 
 
 

1.5 The Open Source revolution

 
 

1.6 Risks and challenges with generalist LLMs

 
 

1.7 When do domain specific LLMs provide a greater business value than generalist ones?

 
 
 
 

1.8 Prerequisites

 
 
 

1.9 Summary

 
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