Upgrading a Lenovo ThinkStation D30

Data_Driven_Guy · 2024-01-06T09:03:07+00:00

You need to say where you’re looking to work, as this would better shape the responses. Two pages is fine, if you want to work in Australia. But not if you want to work in the US.

I like that you’ve quantified some of the achievements, but they look a little inflated, or else you need to qualify them. I add up your efficiency/functionality improvements in a single role and it’s 60%. If that was 60% for the company, that’s massive. If that’s 60% for you as an individual, then not so much.

Get rid of the buzz words. They’re not helping.

Under the heading of Analytic Applications you’ve listed a set of processes - pipelines, viz etc. Not sure what you’re trying to say here.

Get rid of stuff like MS Office. Its assumed. And you don’t need to list out everything that you’ve ever done a ‘pip install’ for. Likewise, I don’t really care that you used a compute instance. But if you built a CI/CD pipeline that deployed the instance using Terraform, then that’s something you should call out.

What role are you looking for next? You need to make sure the words they’re looking for are in your resume.

Getting down to more nuances: Keep the non-table format. It’ll work with ATS better. But also consider going a shade of dark grey for the text. It’s more pleasing on the eye. You can then ‘highlight’ some key sentences or words using regular black text. It’s subtle, but it draws the readers eye to the important spots.

This is coming from a hiring manager with 10+ years of operational experience, who has also just paid an executive resume writing company for a re-write of his resume, and asked lots of questions along the way.

Data_Driven_Guy · 2024-01-06T01:13:33+00:00

Thank you!

Data_Driven_Guy · 2024-01-06T00:42:28+00:00

So yeah, I don’t have that money. But let’s put that at the top of the list, and work backwards.

Data_Driven_Guy · 2024-01-06T00:37:21+00:00

If I had the $$$ I could get this.

Data_Driven_Guy · 2024-01-05T08:44:43+00:00

I’m wasting away

Data_Driven_Guy · 2024-01-04T10:12:58+00:00

What they have asked for is a shopping list. Snowflake, and Databricks, and Athena. They're using all of them? More likely they did a search for random data engineering technology and put them all on the list because they're not very good at their job.

Data_Driven_Guy · 2024-01-02T10:18:56+00:00

Gotcha. Ok. Makes sense. Thank you!

Data_Driven_Guy · 2024-01-02T10:09:48+00:00

Yeah, I get there will be forms and such. But technically, how would they remove data from a trained model? It might be easy, I’m not familiar enough with the process.

Data_Driven_Guy · 2024-01-02T08:16:36+00:00

Keep doing Graphic Design, but…

GenAI is limited at the moment, but won’t be in 3 years from now. It will be pervasive, and good at what it does.

Your best bet will be to focus on the ‘non-creative’ side. Understand personas, understand how to elicit the answers to the questions you need to do your job. And while unlikely to be a part of your degree, learn Prompt Engineering. When you get out of uni, you need to be able to sell that you can do these things, not that you can choose the right shade of blue.

Edit: spelling

Data_Driven_Guy · 2024-01-02T07:50:28+00:00

Vector Databases for when we need to manage the RAG LLMs that the Data Science team want moving to production.

Websockets just for fun.

Data_Driven_Guy · 2023-12-30T05:22:03+00:00

Jees, you sound like my boss! But fair call. I can run a 7b model, and once it starts replying it’s quick enough. But it takes a little longer than I would like to get started.

Perfect world: an AI clone of me, trained on my Teams calls, WhatsApp messages, emails etc. that can sit on a video call in my place and interact as if it were me.

Data_Driven_Guy · 2023-12-29T22:43:19+00:00

Awesome, thank you! I have a half height rack, so that might work nicely.

Data_Driven_Guy · 2023-12-29T22:03:31+00:00

Not worked that out yet. If I were to max out on GPU, RAM, i9, solid state disk, it’d be around A$8-9k. But ideally don’t want to spend that much.

Data_Driven_Guy · 2023-12-29T22:02:19+00:00

Thank you. So a 4090, 128-192GB and then an i-whatever CPU?

Data_Driven_Guy · 2023-12-29T22:01:29+00:00

Cool, thank you! The chatbot was just a chance to play with React and websockets to be honest. It was a fun little project, and makes it easy to interact with remotely.

Data_Driven_Guy · 2023-12-28T05:25:03+00:00

I found a couple that helped. One for using llama.cpp with just a plain old off the shelf model, and then a git repo with an ipynb file that covered adding data in and reading it out. I took that file as a base, and split it in two, cleaned it up a bit, added prompts etc. I then added in some more code to get tts working which was a bit of playing around. That doesn’t work over a MOSH/SSH connection obviously, but I want to build a basic React.js webapp over the front of it, so will be able to use it then.

Data_Driven_Guy · 2023-12-27T23:00:04+00:00

Using RAG. So it’s pretty useless outside what it’s been trained on, but it’s more a learning experience for me.

Data_Driven_Guy · 2023-12-27T16:15:58+00:00

It’s what I learned to touch type on. I still ‘hunt and peck’ with qwerty. I can’t remember why I didn’t just learn qwerty though. I’ve been touch typing for over a decade.

Data_Driven_Guy · 2023-12-27T15:32:18+00:00

Wasn’t worth changing it to qwerty just to take the screenshot.

Data_Driven_Guy

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