Project Description

Description

Large language models like ChatGPT have demonstrated remarkable capabilities across a variety of applications. However, their potential for enhancing the Linux development and user ecosystem remains largely unexplored. This project seeks to bridge that gap by researching practical applications of LLMs to improve workflows in areas such as backporting, packaging, log analysis, system migration, and more. By identifying patterns that LLMs can leverage, we aim to uncover new efficiencies and automation strategies that can benefit developers, maintainers, and end users alike.

Description

After https://hackweek.suse.com/projects/105 the next thing to merge is hermes.

I previously created a semi-auto test script(*) for MOK. The script controls the QEMU virtual machine a pre-setup image and performs two simple test cases. It's tedious to setup the images for every SLE and openSUSE. My goal is to write a script to automatically set up the virtual machines and images and do a full test. I would also like to set up a test for weekly-built OVMF. openQA might be a good reference.

I would like to spend the hackweek to study the Professional Scrum Master level I (PSM I), and then take the certification examination.

I am HA developer, don't have any experience on machine leaning field. Recent years, many topics like "Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data, etc... (I don't forget AI, but in not this time)" become more and more popular and seems interesting to me. I also want to know how high availability function implemented in some distributed system for the core part.

libmarpa is an parsing library based on Earley's algorithm, by Jeffrey Kegler.

With all those analyzers for C code we get so much information about our C code.

Have a play with SUSE CAP on AWS during this hackweek.

Look at Microsoft Mu project

Recent packages for Chef on the SUSE platforms are in a poor shape. In the meantime, Chef 12 is in the beta phase. Let's use the hack week to polish and update our Chef packages.

Report from the research mailing list:

Planning to do some deep learning course sessions e.g. fastai , google ML crash course etc. Also try to understand common tools (tensorflow, jupyter notebook, numpy, pandas, pytorch) and practices e.g. Convoluation neutral nets, SGD used to solve learning problems.

The current GUI of FriCAS is ancient and difficult to use. I plan to improve that by using modern GUI frameworks, at least to make a working proof-of-concept demo to show this idea works.

I plan to summary exist knowledge in filesystem part during hackweek. And learn some more feature about btrfs/xfs/ext4. The motivation is to speed up test result review in the future.

Purpose: