elijahbenizzy

9 ms·

61.
by elijahbenizzy 2y ago
A bit of both! But closer to MLFlow. Hamilton/the UI doesn’t run it, but it does give visibility. So it has the tracking/visibility of airflow and the metrics/artifact tracking of MLFlow bundled together. Can also be used wit
62.
Show HN: Hamilton's UI – observability, lineage, and catalog for data pipelines(github.com)
40 points by elijahbenizzy 2y ago|10 comments
63.
by elijahbenizzy 2y ago
This is great!
64.
Playing Telephone with ChatGPT and DallE (Writeup)(blog.dagworks.io)
1 points by elijahbenizzy 2y ago|0 comments
65.
by elijahbenizzy 2y ago
This is a great write up, thank you! One thing I’m curious about is what properties/metrics of the graph mean for accounting. Spectral properties (eigenvalues, etc…) might have some insightful meaning for the financial system. Also I’m
66.
by elijahbenizzy 3y ago
Yep! That makes sense. As @krawczstef said, building a wrong abstraciton, an overly rigid abstraction, or an overly complex abstraction can all make things worse. With any abstraction there will also always be people who end up outgrowing
67.
by elijahbenizzy 3y ago
Cool! Yeah I think that would pair nicely. You can have the abstraction at the action level, or push it down into the stack (as it seems you're doing). Have also seen some startups building proxy layers for OpenAI/GPT. It's j
68.
by elijahbenizzy 3y ago
Sure, yes, not going to lie I use printlines all the time. There's nothing inherently wrong with it, and meant no offense! In fact, you can even add a hook with Burr that adds as many printlines as you like :) https://burr.d
69.
by elijahbenizzy 3y ago
So I'm a big fan of limiting complexity -- you generally don't want to add something to your stack unless you get value from it. If you're getting started with LLMs, the first step is an API call to OpenAI (or some other foun
70.
by elijahbenizzy 3y ago
Yep! There's a streaming API. It's a little more technically involved, but you can stream back at the point at which an application "halts", meaning you pause and give control back to the user. It only updates state aft
71.
by elijahbenizzy 3y ago
So yeah, shouldn't be too hard, but Burr does not replace LLM API calls -- you can bring whatever frameworks you want. You could do this by writing a simple function: @action(reads=["prompt"], writes=["response&quo
72.
by elijahbenizzy 3y ago
Yep! That's the plan. We're actively looking for partners who can test it out while we're building/bring us use-cases to noodle on, so feel free to reach out if you're interested.
73.
Show HN: Burr – A framework for building and debugging GenAI apps faster(github.com)
94 points by elijahbenizzy 3y ago|22 comments
74.
by elijahbenizzy 3y ago
I really like mintlify and I found this writeup to be straightforward and responsible. Shit happens.
75.
Portable Dataflows with Ibis and Hamilton(blog.dagworks.io)
2 points by elijahbenizzy 3y ago|0 comments
76.
by elijahbenizzy 3y ago
While simultaneously achieving record revenue/profit?
77.
by elijahbenizzy 3y ago
That looks slick! Didn’t have any idea shiny was in python, but IIRC data scientists I’ve worked with in the past love it.
78.
by elijahbenizzy 3y ago
Yep agreed, I really found it good for the first something — e.g. a more advanced figma. Past that it was a bit of a gamble.
79.
by elijahbenizzy 3y ago
On the same team — I’ve really enjoyed strsmlkt and built an app (that made it to the HN front page!) https://share.streamlit.io/-/auth/app?redirect_uri=https%3A%... . That said, I’ve found it to be clunky in a few
80.
by elijahbenizzy 3y ago
There's an argument that the AI tech bubble is just a continuation from the value-add of automating everything and the productivity/GDP-increase that causes. It is just that investors are so skittish that they'll only let the
81.
by elijahbenizzy 3y ago
There's an interesting mental model I've been toying with. At what point do LLMs just become circuit-shaped NNs with stochastic gradient descent backing them? E.G. are we just determining the best program by rearranging 1s and 0s?
82.
How well structured should your data code be?(blog.dagworks.io)
1 points by elijahbenizzy 3y ago|0 comments
83.
How you implemented your Python decorator is wrong(github.com)
2 points by elijahbenizzy 3y ago|0 comments
84.
by elijahbenizzy 3y ago
You've built observable but for python. Love it!
85.
How well structured should you data code be?(blog.dagworks.io)
1 points by elijahbenizzy 3y ago|0 comments
86.
by elijahbenizzy 3y ago
This is true AI! Nice work!
87.
by elijahbenizzy 3y ago
Interesting points about the nuances of a $450 bag that’s rather impractical when it’s more a story than a justification. I’m just here to comment that this was a lovely read, thanks for posting!
88.
by elijahbenizzy 3y ago
Interesting! I had never heard about that.
89.
by elijahbenizzy 3y ago
I think that if you look at a history of social changes you’ll very likely find that they all started with successful persuasion campaigns. Like it or not, if you want to preserve the rights we hold dear (as you mentioned above), you’re go
90.
by elijahbenizzy 3y ago
I disagree with large parts of what you said, but if my and others’ anger towards fireworks (which I actually do quite enjoy) results in a small tax on firework sales to fund veteran causes, in which I am a staunch believer, then not gonna

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