shawwn

The Verge: "Meta’s powerful AI language model has leaked online — what happens now?"

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Could you confirm that you downloaded the LLaMA series from 4chan? Were you able to get it running yourself or did you just repackage the download? (I was a bit confused reading your tweets about that what exactly you'd done there, so if you're able to explain that, it'd be great)

I downloaded it from Facebook, actually. You can find some details here.

Basically, the sequence of events was:

33eyes

Commit jupyter notebooks code to git and keep output locally

1. Add a filter to git config by running the following command in bash inside the repo:

git config filter.strip-notebook-output.clean 'jupyter nbconvert --ClearOutputPreprocessor.enabled=True --to=notebook --stdin --stdout --log-level=ERROR'  

2. Create a .gitattributes file inside the directory with the notebooks

3. Add the following to that file:

JoeyBurzynski

58 bytes of CSS to look great nearly everywhere

When making this website, i wanted a simple, reasonable way to make it look good on most displays. Not counting any minimization techniques, the following 58 bytes worked well for me:

main {
  max-width: 38rem;
  padding: 2rem;
  margin: auto;
}

halfelf

https://web.archive.org/web/20110219163448/http://howtohft.wordpress.com/2011/02/15/how-to-build-a-fast-limit-order-book/

The response to my first few posts has been much larger than I’d imagined and I’d like to thank everyone for the encouragement.

If you’re interested in building a trading system I recommend first reading my previous post on general ideas to keep in mind.

My first really technical post will be on how to build a limit order book, probably the single most important component of a trading system. Because the data structure chosen to represent the limit order book will be the primary source of market information for trading models, it is important to make it both absolutely correct and extremely fast.

To give some idea of the data volumes, the Nasdaq TotalView ITCH feed, which is every event in every instrument traded on the Nasdaq, can have data rates of 20+ gigabytes/day with spikes of 3 megabytes/second or more. The individual messages average about 20 bytes each so this means handling

mfuerstenau

  ZigZag-Encoding
  ---------------
  
  Maps negative values to positive values while going back and
  forth (0 = 0, -1 = 1, 1 = 2, -2 = 3, 2 = 4, -3 = 5, 3 = 6 ...)

  (i >> bitlength-1) ^ (i << 1)

  with "i" being the number to be encoded, "^" being
  XOR-operation and ">>" would be arithemtic shifting-operation

daveray

; A REPL-based, annotated Seesaw tutorial
; Please visit https://github.com/daveray/seesaw for more info
;
; This is a very basic intro to Seesaw, a Clojure UI toolkit. It covers
; Seesaw's basic features and philosophy, but only scratches the surface
; of what's available. It only assumes knowledge of Clojure. No Swing or
; Java experience is needed.
;
; This material was first presented in a talk at @CraftsmanGuild in
; Ann Arbor, MI.