🕵️ OSINT: link company acronyms to Standard Occupation Classification w. Open Source LLMs

🍿 For impatients

💭 About Standard Occupation Classifications

The for more.

🤔 About acronyms

Any enterprise has a set of acronyms. I find them very useful as in a way... they are a way to discover point of interests of activities.

Also, when you're a new recrutee, you may need to get the reference to understand common jargon, documents and colleagues in meetings (which was my case).

to ensure well structured outputs

👉 Here, we'll just focus on just pure prompting over out-of-the-box LLMs.

1. 
   Import the acronyms dataset
   


2. 
   Build a customized ollama model with a dedicated PROMPT to get structured output json :
   


3. 
   Enjoy generated knowledge: perform some analysis on the the output database, see Kaggle ( with 137 valid codes


4. 🥉 into categories:
   
   
   

   
   



5. 📚 Dataset
   





Core datasets:















📚 Related resources about AI and HRs





Vollständiger Original-Bericht
Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf dev.to.
↗ Original-Artikel auf dev.to lesen