serced

Yes, I also wonder about this! Progress from children books to scientific papers etc. Could it learn e.g. language structure faster in a pre-training stage? Also somehow one needs to define a proxy to generalization to compute a loss and do backpropagation.

I find interesting that their blog post on prompt/context engineering kind of stands against their ultra long system prompt. Maybe it is not too specific as in their visual example (too specific - just right - too vague). https://www.anthropic.com/engineering/effective-context-engi... and the system prompt https://docs.claude.com/en/release-notes/system-prompts#sept...

It's nice to see Claude.md! I checked out the commits to see which files you wrote in which order (readme/claude) to learn how to use Claude Code. Can you share something on that?

Great to see this from a public institution here! Can you share evals and the tech report? On Huggingface it leads to a 404 for me.

May I ask what part in M&A needs this much data processing? I am quite familiar with the field but did not yet see such tasks.

Zurich IT market died after COVID. Not sure about other hubs.

To get some experience launching webapps that can be put into the play store and play around with image generation models, prompting, I am building an app to generate application/corporate photos from a few non-professional selfies.

Tech stack is probably FastAPI (I mainly know python) and likely nuxt/ionic (none/not much experience). Not sure how the whole hosting, interaction with replicate/huggingface will work on phone apps, payments on stripe without having a company, how to make the webapp into a phone app, etc. It should be a great learning project with the first time scoring an actual sale! Happy to hear early guidance if people have done similar things with python backgrounds to get started.

TIL there is 'vimtutor'. I barely new the basics for quickly creating a file and inserting stuff. Will have a look if there is something to learn there, thanks for the pointer.

In the previous startup I worked at, we set up a PR action that played a celebration thingy after every PR merge. We used https://github.com/leokster/dingdong_sonos to play on the Sonos speakers. Fun little gimmick but not really as a usecase like colors for linting etc.

Hi all I wrote this "blog" Google colab notebook for friends and family who have little technical know-how or do not yet have an understanding of language models. It's based on nanoGPT (a minimal GPT implementation from Andrej Karpathy, ex-OpenAI - not sure whether there is a need to state this here). However, I rewrote the code from scratch, made it more explicit, and have lots of textual information such that everyone should be able to follow what is happening when, and train their own little GPT :) Hope it helps some people and let me know if you have any questions/feedback.

Tl;dr: Blog about how LLMs work & train a mini model without prior knowledge.

Just from a qualitative perspective, i.e., personal experience/discussions.

Interesting but also scary to go this route. I think part of the problem in Europe is also that companies/governments are less open to just try out new (startup) solutions. I would love to be learn from US startups how they manage to sell without much done already.

Good idea, thanks! Generally we may need to add a short paragraph that no data is stored as this may not be clear.

Location: Switzerland / Europe

Remote: Yes

Willing to relocate: Potentially SF? Otherwise preferably hybrid/remote, though I am open to exploring options.

Technologies: Machine Learning (CV, NLP, etc.), Software Enigneering (FastAPI, Pydantic, SQL, a bit of frontend & IaC using Terraform with Microsoft Azure).

Résumé/CV: https://www.linkedin.com/in/severinhusmann/ or happy to send CV via message/mail.

Email: seevgame@hotmail.com

Unique background combining machine learning studies/work experience (ML/software engineer at Swiss startup) with business studies/experience (consulting, mergers and acquisitions, private equity, startup). At the startup, I worked on a computer vision project and as a software engineer on building their latest SaaS product (FastAPI, Pydantic, SQLAlchemy, some frontend in Vue.js, etc). I would love to work with cool people building the future using AI :)