In this lesson, we are going to talk about the selection of a foundation LM when we are a building,
an LM application.
So one of the first thing, first thing we need to decide is which foundation LM are we going to use.
Are we going to use ChatGPT or or llama two or anthropic or Mistral.
What is the the what are the criteria we are going to use in order to select the the foundation LM.
So in the.
2023.
Artificial Intelligence Engineers survey.
One of the questions we found there was the top considerations when choosing a foundation model for
your LM application, and the four top considerations when choosing foundation models were.
Accuracy.
The first one cost.
Latency and privacy.
So I repeat accuracy, which is precision of the foundational LM model.
The cost.
The latency, which is the speed and the privacy, meaning the ability to protect private data.
Right.
So what were the top a LM Foundation models used on a 2023 by artificial intelligence engineers.
So by far, by far the top, uh, the most used uh foundation model was ChatGPT.
By far it is a during the 2023 year it has been the most accurate.
By far, and this has been the top criteria.
Very far from ChatGPT.
We had we had another LM models like Anthropic Cahir, palm, llama two Falcon, etc. the interesting
thing is that these 2023 survey showed that 80% of artificial intelligence engineers are experimenting
with more than one lm.
So even when they finally decide to use ChatGPT in the process, they have check different, uh, LM
models.
This means that when we have a and the alternative LMS, uh, in the same basic, uh, levels of accuracy,
uh, or and that, uh, ChatGPT is providing right now, probably we are going to have a much more alternatives
in LM applications, but until now the top choice is being ChatGPT.
In the next lesson, we are going to talk about the selection of the stack of tools when building an
LM application.