kernelsanderz

6 ms·

1.
by kernelsanderz 7mo ago
Theo’s snitch bench is a good data driven benchmark on this type of behavior. But in fairness the models are prompted to be bold to take actions. And doesn’t necessarily represent out of the box or models deployed in a user facing platform.
2.
by kernelsanderz 1y ago
https://archive.is/vXfbb
3.
by kernelsanderz 1y ago
I’ve been excited about lancedb and its ability to support vector indexes and efficient row level lookups. I wonder if this approach would work for their design goals and still allow broader backwards compatibility with the parquet ecosyste
4.
by kernelsanderz 1y ago
Marimo is really special and solves most of the problems that you have with Jupyter. For those Marimo curious I strongly recommend checking out their YouTube channel. So much effort gone into making these videos really great. https:/&
5.
by kernelsanderz 1y ago
I’ll read this tomorrow
6.
by kernelsanderz 2y ago
For another library that has great performance and features like full text indexing and the ability to version changes I’d recommend lancedb https://lancedb.github.io/lancedb/ Yes, it’s a vector database and has more c
7.
by kernelsanderz 2y ago
Also worth checking out https://github.com/jasonwhite/rudolfs Been using it to store datasets via lfs. Written in rust and has been very reliable.
8.
by kernelsanderz 2y ago
I’ve been using https://github.com/jasonwhite/rudolfs - which is written in rust. It’s high performance but doesn’t have all the features (auth) that you might need.
9.
by kernelsanderz 2y ago
https://archive.is/S7UEJ
10.
by kernelsanderz 2y ago
https://archive.is/do6tG
11.
by kernelsanderz 2y ago
Some heroes don’t wear capes. They wield scripts, API calls, and a bit of luck.
12.
by kernelsanderz 2y ago
The actual podcast and interview is here https://youtu.be/dzQlRt3y5mU?si=qfS0DlPVcjBn-0zd
13.
by kernelsanderz 2y ago
I use jupyterlab via an SSH tunnel
14.
by kernelsanderz 2y ago
Is anyone else not seeing this in their console. I still only see the old sonnet.
15.
by kernelsanderz 2y ago
Non paywall link https://archive.is/lCdK3
16.
by kernelsanderz 2y ago
No, there's a configurable system prompt which is: Return commands suitable for copy/pasting into \(shell) on \(uname). Do NOT include commentary NOR Markdown triple-backtick code blocks as your whole response will be copied into
17.
by kernelsanderz 2y ago
For those who have the funds and means, you can support the maintainer through their donation page here: https://iterm2.com/donate.html
18.
by kernelsanderz 2y ago
In practice, a combination of full text and vector databases often gives superior performance than just one of the types. It's called hybrid search. Here's an article that talks a bit about this: https://opster.com&#x2F
19.
by kernelsanderz 2y ago
Tantivy is also used in an interesting Vector Database product called LanceDb - https://lancedb.github.io/lancedb/fts/ to provide full text search capabilities. Last time I looked it was only through the python bi
20.
by kernelsanderz 2y ago
down for me. doesn't get search results
21.
Rudolfs – high-performance caching Git LFS server with AWS S3 and local back end(github.com)
2 points by kernelsanderz 2y ago|0 comments
22.
by kernelsanderz 2y ago
What's really cool, is that this was built on Karpathy's llama2.c repo https://github.com/karpathy/llama2.c A great example of the unexpected things that happen when put great code into the commons. I bet And
23.
by kernelsanderz 2y ago
I just noticed that tmux has some basic sixel support now - https://raw.githubusercontent.com/tmux/tmux/3.4/CHANGES discovered at https://www.arewesixelyet.com/
24.
by kernelsanderz 3y ago
If people are interested in fast, scalable HNSW implementations which have solid rust bindings then I’d highly recommend checking out usearch https://github.com/unum-cloud/usearch
25.
by kernelsanderz 3y ago
There’s also asitop https://github.com/tlkh/asitop
26.
by kernelsanderz 3y ago
thank so much for sharing. Amazing product BTW!
27.
by kernelsanderz 3y ago
a post about cost-efficient AI without any costs or comparisons?
28.
by kernelsanderz 3y ago
I'd be fascinated if you could share your insights from using this. Where does the pricing fall down? And is the latency/throughput a big improvement for this use case? (ie. externalizing a search index).
29.
by kernelsanderz 3y ago
Very excited about being able to build scalable vector databases on DiskANN like turbopuffer or lancedb. These changes in latency are game changing. The best server is no server. The capability a low latency vector database application that
30.
by kernelsanderz 3y ago
Has the code and models been release for this? Looks like amazing work!

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