Viewing profile — montanalow
montanalow
HN member- Joined
- Wed, May 05, 2010, 1:20 AM UTC
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About montanalow
Recent public activity
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Comment #41063913
Thanks for the feedback. I've updated that paragraph to clarify the product placement is for Llama. I don't really think Meta needs our help to much...
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Comment #40945651
If you want to see all the SQL functions and tables Korvus depends on, check out the pgml extension. https://postgresml.org/docs/open-source/pgml/
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Comment #40941373
Yep, one of our other projects, pgcat is exactly to help make the horizontal scaling as easy as possible. https://github.com/postgresml/pgcat
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Comment #40610821
Most managers and organizations miss the fact that engineers are often motivated by solving puzzles in ways like this, because it's fun. If you want to accomplish big challenges, q…
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Comment #40238917
You can do all of that in a single SQL query, with pgml.embed() and then pgml.train() a custom reranker with xgboost, to pgml.predict() the conversion score of a search result base…
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Comment #38550781
This is an SDK built to interact with PostgresML, which provides ML & AI _inside_ a Postgres database. Clients in this case don't perform inference, rather the server does. You cou…
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Comment #38435511
If anyone would like a free PostgresML T-shirt, we just did our first run. Feel free to email me with your shipping info and size. It'd also be nice to get to know you a bit if you…
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Show HN: PostgresML – Run open-source ML/LLM models in a Postgres extension
We've been hard at work improving PostgresML, and thought it was time for an update now that our cloud offering is generally available. In case you missed our first posts, I built …
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Comment #36406262
Quantization allows PostgresML to fit larger models in less RAM. These algorithms perform inference significantly faster on NVIDIA, Apple and Intel hardware. Half-precision floatin…
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Comment #36167145
We've been working on a Python SDK[1] for PostgresML to make it easier for application developers to get the performance and scalability benefits of integrated memory for LLMs, by …
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Comment #36072965
Full disclaimer, I work on PostgresML, and I'm not a MindsDB expert. They both do ML in the database, but we've been at least as focused on scalability for Postgres workloads as ML…
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Comment #35902432
There is a lot of latency involved shuffling data for modern/complex ML systems in production. In our experience these costs dominate end-to-end user experienced latency, rather th…
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Comment #33523893
RAM and the Postgres shared buffers, as well OS page cache can also be important factors when there is an active working subset, e.g. the active sessions on a website might be reus…
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Comment #33271016
Another suggestion: Don't build you identity around a language or platform. They come and go. Except SQL. It's been around for longer than either of us.