Organizations can leverage LLMs either by 
using SaaS LLM APIs to call services like 
ChatGPT from OpenAI or by operating their 
own LLMs in-house.

Thinking of building your own modern LLM 
application? This approach could entail 
the use of specialized transformer-related 
Python libraries to train the model, as well as 
LLM tools like LangChain to develop prompt 
interfaces or integrations to other systems.  

LLM DEFINITIONS
◊	 Transformer-related libraries:  

Python libraries used to train LLMs 
(example: Hugging Face)

◊	 SaaS LLM APIs: Libraries used to access 

LLMs as a service (example: OpenAI)

◊	 LLM tools: Toolchains for working  
with and building proprietary LLMs 
(example: LangChain)

12

2023 STATE OF DATA + AIMachine learning experimentation and production  
take off across industries
databrick 2023 report