strickvl

4 ms·

1.
Show HN: A searchable, timestamped index of 1,124 AI Engineer talks(aietalks.com)
10 points by strickvl 23d ago|2 comments
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by strickvl 6mo ago
Hi HN, I am one of the people behind Kitaru. Over the last year, we kept seeing teams in our ZenML community stretch pipeline DAGs to run agents; they executed things like dynamic branching, state passed through artifact-store workarounds,
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Show HN: Kitaru – Open-source infrastructure for async agents(github.com)
2 points by strickvl 6mo ago|1 comments
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by strickvl 9mo ago
Author here. I work at ZenML, where we maintain the LLMOps Database ( https://www.zenml.io/llmops-database ) — a collection of production LLM case studies we've been cataloguing for a while now. This post summarises patt
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What 1,200 Production Deployments Reveal About LLMOps in 2025(zenml.io)
1 points by strickvl 9mo ago|1 comments
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Show HN: No-BS Database of 300+ real-world LLM/GenAI production implementations(zenml.io)
7 points by strickvl 2y ago|0 comments
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Finetuning LLMs: how to get the most out of an online course(ohmeow.com)
1 points by strickvl 2y ago|0 comments
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by strickvl 2y ago
But still only single GPU for now. I also heard great things about it, but wanted to make the maximum use of my multi-GPU local setup.
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by strickvl 2y ago
Thanks! Yes one 'next step' that I'd like to do (probably around the work on deployment / inference that I'm turning to now) will be to see just how small I can get the model. Spacy have been pushing this kind of wo
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by strickvl 2y ago
Interesting. I can maybe try finetuning one or two of the so-called 'uncensored' open models and see if that makes a difference. A bit harder to switch out the dataset completely, as that's really what I'm interested in
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by strickvl 2y ago
OpenpPipe - https://openpipe.ai/ - is probably the service that most closely resembles what you’re asking for, but I found the evals weren’t really what I wanted — i.e. following my custom evaluation criteria — so you proba
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by strickvl 2y ago
I followed whatever the guidance was for a specific model. Some of the LLM finetuning providers did indeed set the temperature to 0 and I followed that, but others suggested 1. I could probably iterate a bit to see what is best for each mod
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by strickvl 2y ago
Depends a bit where you’re running etc. This works for Modal, e.g., but they’re just using axolotl under the hood so you can just connect to whatever cloud provider of choice you’re using and then run axolotl straight. I did my finetunes ac
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by strickvl 2y ago
I think not. Normally if you get those kinds of errors you wouldn’t get any output at all. In the blog I show that all 724 of the test cases got proper JSON output etc for the queries so I don’t think this was an issue. I think these kinds
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by strickvl 2y ago
There's a ton of abstraction in axolotl, for sure, but so far I haven't found that it gets in the way. The main competitor in that space seems to be Unsloth, but that only works with a single GPU machine, so didn't fit my pur
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Creating Tools That Spark Joy with Ines Montani (Spacy / Prodigy)(podcast.zenml.io)
2 points by strickvl 5y ago|0 comments
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by strickvl 5y ago
ZenML | Developer Advocate | Full-time | Remote (Europe / UK) | https://zenml.io Hey! We are an open-source company ( https://github.com/zenml-io/zenml ) and the pulse of ZenML's community is our dr
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by strickvl 5y ago
If you're in the UK, Pimoroni ( https://shop.pimoroni.com/?q=solar ) has some good options as well.
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Why you should be using caching in your machine learning pipelines(blog.zenml.io)
4 points by strickvl 5y ago|0 comments
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by strickvl 5y ago
Location: London (United Kingdom / UK) Remote: Willing to be fully remote / hybrid. Willing to relocate: Yes (Germany or the Netherlands would work well) Technologies: Ruby, JavaScript (ES6, Node.js), Python, Go, React, Redux, Sin
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by strickvl 5y ago
Location: London (United Kingdom / UK) Remote: Willing to be fully remote / hybrid. Willing to relocate: Yes. Technologies: Ruby, JavaScript (ES6, Node.js), Python, Go, React, Redux, Sinatra, Express, AWS (ECS / Fargate &#x2F