Viewing profile — ekzhu

CoPaw comes with CoPaw-Flash models fine-tuned for personal assistant scenarios: https://huggingface.co/collections/agentscope-ai/copaw-flash

We've been building TuFT (Tenant-unified FineTuning), an open-source platform that lets multiple users fine-tune LLMs on shared GPU infrastructure through a unified API. It's MIT l…

Check out MATCH_RECOGNIZE. It is a new SQL feature that does just what the post describes.

The Dataframe is loaded from disk true, but it is possible that batch loading is faster (esp. with structured data) than row-by-row translation Postgres types into Python types. Wo…

Great idea! I see this is implemented using the Python language interface supported by PostgreSQL and importing sklearn models. I always wonder how scalable this is considering the…

I am curious what is issue with existing migration tools? There are so many tools out there. What is the problem they are not solving?

Most of it should be cached. I think it’s a trade off between server load and client experience. Millions of 10KB requests << thousands of 500KB requests (also potentially with lot…

TLDR: Arrow got an SQL interface provided by DuckDB. So you have a new way to run SQL on Parquet et al through DuckDB -> Arrow -> Parquet. Of course, you still need to watch out fo…

There is no reason for both approaches to not coexist: a centralized catalog managed by a small team, setting the “gold standard” for the many decentralized data producers and cura…

I cannot continue reading after this following “declaration”… Author should take a look at the Wikipedia page for TF-IDF. > As someone who has a Ph.D. in Human-computer Interaction…

Thanks for the response. I enjoy reading your blog. What you said reminds me of the post [0] in which you compared Timescale with InfluxDB and argued that SQL is better. Has your p…

Thanks for the background. I find it fascinating that the small-data scenarios in analytics are still kind of chaotic when it comes to tooling. Full-fledged SQL queries on relation…

Database researcher here. This is really cool! I wonder what was the initial drive for this new feature? Is this meant to be a "short-cut" to express complicated SQL queries, or is…

Interesting findings: 1. "Amazon Restaurant & Bar Inc" received 1.3M in FY2021 while apparently empolying only 8 people and taking a revenue of 96k ( https://www.manta.com/c/mhx084…

How do you handle expensive queries? Several JOIN over multiple large data sources can easily take minutes if not hours.

Just want to point it out in case people miss it: it has a Postgres extension you can use directly in your databases.

There are many free public datasets available on the web. I have an open source project on crawling public datasets and make them searchable in one place: https://github.com/findop…