Readit Newsconor_f commented on Ask HN: Freelancer? Seeking freelancer? (October 2024) · Posted by u/whoishiring
SEEKING WORK | Berlin, Germany | Remote Preferred
I am a software engineer specializing in Python backends, but have demonstrated ability using whatever technology necessary to best solve the problem at hand. I have experience working with large multinationals, and startups, both in person and on a remote-only basis. My current role is fully remote, and involves software architecture/design decisions, PoC prototyping, DevOps, improving developer tooling, and general purpose programming.
The best place to see my professional experience is on LinkedIn, but feel free to reach out to me by any means you prefer so we can discuss opportunities.
Technologies: Python (+ Frameworks), AWS, Docker, Linux, ...
LinkedIn: https://www.linkedin.com/in/conorjflynn/
Résumé: https://blog.randombits.host/resume/ (PDF Preview)
Github: https://github.com/conor-f
Blog: https://blog.randombits.host
Email: hn@randombits.host
Another interesting thing in this space is Traindown[1]. It's simply Markdown for your exercises. As an example for those who need convincing to go to a link, this could be a simple workout:
@ Mar 03 2024 08:00
# Unit: kg
# Bodyweight: 70
Squat:
40 12r
65 8r 2s
40 12r
Assisted Pull Up:
bw-20 12r
bw-5 6r
bw 2r
Highly recommended!
conor_f commented on Show HN: Magentic – Use LLMs as simple Python functions github.com/jackmpcollins/... · Posted by u/jackmpcollins
conor_f commented on Show HN: Magentic – Use LLMs as simple Python functions github.com/jackmpcollins/... · Posted by u/jackmpcollins
Looks super cool! A few questions:
1) Can you get the actual code output or will this end up calling OpenAI each function call? 2) What latency does it add? What about token usage? 3) Is the functionality deterministic?
conor_f commented on Ask HN: How to Keep Up with LLMs? [Linux, Self-Hosting, Info] · Posted by u/conor_f
1) what do you want to use it for?
2) /r/localllama is good, and then also the “open llm leaderboard” and the “lmsys llm leaderboard”
1) Some general use cases:
- Getting familiar with new APIs
- Bouncing general knowledge questions off it
- Having "discussions" to interact with it in a Socratic style
- Giving some "personality" to automated services by calling it as an API
conor_f commented on Ask HN: How to Keep Up with LLMs? [Linux, Self-Hosting, Info] · Posted by u/conor_f
My first stop would be llama.cpp and compatible models on your own machine. You should be able to run quantized 7B and 13B models, try them out and see if they work.
Though for "personal workflow", unless you want to be able to play with the internals of the models or are worried about privacy, I'd just use ChatGPT (in fact I do, despite having llama.cpp setup to run various models, I always use ChatGPT for personal stuff and programming question)
Thanks, I will look into llama.cpp today :)
I don't have much interest in playing with the internals for now, but I generally like keeping my data personal and the services I use self-maintainable as much as reasonably possible! I also feel like I could find the token limits and price limiting with ChatGPT.
Remote: Preferred
Willing to Relocate: No
Technologies: Python (+ Frameworks), AWS, Linux, Docker, ...
Résumé/CV: https://www.linkedin.com/in/conorjflynn/ | https://blog.randombits.host/resume (PDF Preview)
Email: hn@randombits.host
Hey, I'm Conor, a software engineer specializing in the backend, but capable of using whatever technologies required to get a problem solved. I have experience with large multinationals, but much prefer my time working with startups. I was the first hire in my current company, and am now looking for a new opportunity having helped the company find product/market fit, scale the solution, and reach a position of stability. Most of my details can be found on my LinkedIn, including links to my Github, Blog, and other technical works.