u/Jean-Luis

Hey so, I actually don't know what to do lol currently I already have my cs degree, but with the current market I don't see how I will stand out any time soon. Thankfully, I have the opportunity to go back to school, I like this field but I don't know how worth my time is a MCS, I would like to hear out your opinions in regards to that, is masters worth it? or should I study something else like mechanical or electrical engineering. There's also a Masters in Energy program but I don't know how well it complements with a CS degree. I would deft have to get a BS when it comes to mech or electrical, I don't think I have enough background to pursue a masters in those areas

Pretty much what the title says I'm planning on doing CS 538 Advanced Computer Networks and CS 498 Cloud Computing Applications but with the dumb breadth requirement I can't really take either (technically I can by I don't want to give up CS 425). Anyways my question is how different are they they seem to be based a lot on computer networking a top approach which I think I can definitely read and understand by spring 27' but I don't know if CS 438 would be very different.

And I guess while I have y'all here, what do you think of my possible options? Also if you guys have any idea how hard any of the classes are I would appreciate your input

Option 1 : I Study 438/435 on my own if equal or possible

Path:
Networking + Software
Area:
Systems and Networking + Parallel computing + AI + Software Engineering

CS 441 Applied Machine Learning 💯 AI Path
CS 425 Distributed Systems 💯 Networking + Software

CS 498 Cloud Computing Applications 💯 Networking Path
CS 484 Parallel Programming 💯 Software Path
CS 427 Software Engineering I 💯 Software Path

CS 538 Advanced Computer Networks 💯Networking Path
CS 521 Topics in Programming Systems 💯 Software Path
CS 537 Advanced Topics in Internet of Things 🧠 Security 

Hi, so I have an idea for a project and I think, well Ik, I'm probably going to have to fine-tune a LLM, I've seen couple videos on youtube but I feel like most are simply telling you a specific step-by-step help by I do not feel like I'm learning anything and I do not want to just copy-paste nor well use AI to do my project lol anyways, to be honest I'm not familiar with LLM work, the closest to it has been in my intro to data science class where we discussed some tokenization and regression and whatnot but I don't see how that relates to my project, maybe the part of cleaning data? but I can't seem to connect the dots to my project idea. I don't want to say what it is because well Idk I think it might be sort of a nice idea and I'll probably wont do anything but who knows! Let's say I want the llm to be good at responding similar to a chatbot, I need memory, and I'll have to figure out how I'm going to need it to express itself. Anyways, my question is what sources should I look for? book? is fine-tuning the correct strategy? what other strategies are there around ?? Am I doing something to beyond me ?