cpard

9 ms·

91.
by cpard 1y ago
It seems that the 24h SLA is standard for batch inference among the vendors and I wonder how useful it can be when you have no visibility on when the job will be delivered. I wonder why they do that and who is actually getting value out of
92.
Fenic: A Cute, PySpark-Inspired DataFrame Framework for AI Workflows(typedef.ai)
1 points by cpard 1y ago|0 comments
93.
by cpard 1y ago
That’s interesting! I’ll take a deeper look. Thanks for sharing
94.
by cpard 1y ago
The problem with semantic web was deeper, people had to agree on the semantics that would be formalized as triples and getting people to agree on an ongoing basis is not an easy task. My question is, what’s the value of explicitly storing s
95.
by cpard 1y ago
I wonder how this interoperability hype in the industry, induced by MCPs, will affect companies where the lack of interoperability is almost a moat. I remember when I first interacted with Marketo and I was wondering why people even bother
96.
by cpard 1y ago
Yeah there’s definitely a lot work left for substrait and that’s why it makes me happy to see projects like this. Substrait is the type of project that can only be built by trying to engineer real systems, just like you tried to do.
97.
by cpard 1y ago
It’s great to see substrait getting more seriously used! It has been supported by engines like duckdb but the main serious use case of it I’m aware of is from Apache gluten where it is used to add Velox as the execution engine of Spark. It’
98.
Batch Inference, Type Systems, and Why Cortex Aisql Got Me Excited(kostasp.net)
1 points by cpard 1y ago|0 comments
99.
by cpard 1y ago
> Let's start with what I see as the biggest problem that the introduction of LLMs is presenting to language design: everything is easier in Python. This is so true. A couple months ago I was trying to use LLMs to come up with code
100.
by cpard 1y ago
How do you script Claude code? I've been using it as a CLI but haven't thought of invoking Claude code through a script, sounds very interesting.
101.
by cpard 1y ago
I went through chemotherapy for ALL as a kid and I had to do almost an extra year of treatment because I was male, for the reasons you mention in your comment. Male kids before me, also had to do a surgery to remove something from their tes
102.
by cpard 1y ago
You hit an important point here. Waymo is offering a very consistent experience, from the car that is used to the driving behavior. Taxi services in the past, at least where I grew up, were kind of enforcing a more consistent experience by
103.
by cpard 1y ago
Reminds me of the work done at Uber with Dragon https://www.uber.com/blog/dragon-schema-integration-at-uber-... Unfortunately it never got open sourced but Joshua left for LinkedIn and started working on the LambdaGrap
104.
A Snowflake announcement explains dbt Labs' licensing change(kostasp.net)
1 points by cpard 1y ago|0 comments
105.
Meta's Synthetic-Data Kit for Llama Fine-Tuning(kostasp.net)
2 points by cpard 1y ago|0 comments
106.
by cpard 1y ago
That makes sense, do you think LLMs have or can potentially change that and end up having more realistic synthetic data than what you've seen in the past? I guess the data you were working were more like time series data but still if a
107.
by cpard 1y ago
thank you Sir!
108.
by cpard 1y ago
That would be amazing if you could share some references. Thank you!
109.
by cpard 1y ago
Love the references but I’m having a hard time deciphering your comment. Quantum physics where always fascinating to me but not always easy to comprehend I guess
110.
by cpard 1y ago
Do you use any framework to generate the data and how do you evaluate the quality of the generated data?
111.
by cpard 1y ago
This is great. Synthetic data has been around for a long time, I think the difference with LLM related cases is that in the past it was primarily structured data that was a bit easier to approximate with some distribution or some grammar. W
112.
Ask HN: Is synthetic data generation practical outside academia?
5 points by cpard 1y ago|13 comments
113.
by cpard 1y ago
I agree, there are impressive results. This just came out from Berkeley https://arxiv.org/abs/2506.04178 But still, I mainly see work on this direction in academia.
114.
by cpard 1y ago
How big of a use case is synthetic data generation? I’m curious as I see a lot about it coming from academic projects but I haven’t seen much related to commercial use cases
115.
by cpard 1y ago
There are a couple different reasons that make this acquisition interesting. First is their long pursuit of HTAP and the failures around unistore. Snowflake wanted to get into transactional workloads for a long time and for good reasons. I
116.
Publisher: The Malloy Semantic Model Server(github.com)
21 points by cpard 1y ago|0 comments
117.
by cpard 2y ago
I love to write, actually I think I have to write as it’s the only way I’ve figured out on how to put guardrails on my thoughts. I got my first remarkable a few years ago and I was super excited, I thought it could be the bridge between my
118.
Key Takeaways from VeloxCon 2024(cpard.xyz)
1 points by cpard 2y ago|0 comments
119.
rr: Lightweight Recording and Deterministic Debugging(rr-project.org)
14 points by cpard 2y ago|1 comments
120.
Daft: A High-Performance Distributed Dataframe Library for Multimodal Data(blog.getdaft.io)
7 points by cpard 3y ago|2 comments

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