How do Patterns understand specific data formats?

[RajeshSiraskar-PhD]

Hi,

I just came across Fabric and the entire Human 3.0 concept! What an amazing ground breaking work this is.

I'm trying to understand how Fabric works. How does a pattern like "analyze_logs" - understand the format of a log file?

I tried to study the Pattern - but was unable to understand how it can figure out "anamolies" for example, if doesn't know the underlying log data structure or schema. Another example: One of the instructions in the pattern is "Look for any recurring patterns or persistent issues".

In my opinion, there could only be two ways it can:

1. The LLMs we use - are pre-trained on 1000s of different log file formats and it just knows how to do it
2. In Fabric, there is a configuration mechanism for custom formats that these patterns use

Many thanks for helping.

[bjenkinsgit]

My guess is that you could give a major hint to the AI by telling it what log type you are giving it (ex. JUnit). And then, I think you are right that it would be able to handle that due to the fact it has seen 1000s of different log types. But by giving it a hint would help reduce the chance of it not correctly identifying the correct log source and type. Just a guess....