# Evaluation of Open Source Large Language Models for Industrial Control

- Institution: CERN
- Department: CERN openlab Summer Student Programme 2024
- Speaker: Siria Sadeddin
- Year: 2024
- Language: English
- Subjects: Languages and linguistics
- Source: [CERN](https://videos.cern.ch/record/3013658)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The objective of this project is to identify the most suitable lightweight open-source large language model (LLM) for code summarization in the domain of industrial control systems. The focus is on selecting models that are capable of running on a single GPU with less than 40GB RAM, and provide fast, accurate summaries. The analysis showed promising results, demonstrating the viability of deploying these models in a cost-effective manner for real-world applications. Moreover, fine-tuning efforts, particularly with Llama 3.1 8B, highlighted the potential of these models to deliver context-aware responses..

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## Lectures

1. [Evaluation of Open Source Large Language Models for Industrial Control](https://invisiblenetwork.ai/learn/cern/3013658/bf8f141cb7cd), 11 min (CERN's player)