2024-03-11 - KDB Project Call Meeting Minutes

alvin-c-shih commented 3 months ago

Date

Monday, March 11, 2024 - 9:30am ET / 2:30pm UK

// Second Monday of every month

Attendees

Fullname	Affiliation	GitHub Username
Ross Duffy	Morgan Stanley	@rdffy
Alvin Shih	Morgan Stanley	@alvin-c-shih
Karl Moll	FINOS	@karlmoll
Aaron Davies	Morgan Stanley	@adavies42
Jo Shinonome	ExeQution Analytics	@jshinonome
Peter Gyorok	KX Systems	@gyorokpeter
Hong Wing Hau	BNP Paribas	@honus85
Conor Twomey	KX Systems	@ctwomeykx
Claire Poland	Data Intellect	@claire-sloan

Meeting notices

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Agenda

(5 min) Convene, roll call, welcome new people.
[ ] Display FINOS Antitrust Policy summary slide
[ ] Review Meeting Notices (see above)
(5 min) Approve previous meeting minutes.
- Approved by acclamation.
(10 min) kdb+ 4.1 serialization
- Still using Protocol 6.
- Last time q added a verb, was put on wire as a lambda.
- Lambdas sent as strings.
(10 min) Horizontal Scaling
- qclone a wrapper around fork(2)
- shares memory pages with parent
- only works on a single host
- qcluster at Morgan Stanley is for multi-host distribution
- A collaboration between kdb-using teams from different business lines.
- Hooks to: spin up containers, retry on failure, etc.
- Uses conn.q a bit, but could use it more.
- Using common module loader facilitates this sort of collaboration.
- qdepends has a lower-level API and pluggable resolver to allow it to be adapted to various environments.
(10 min) Fabric - LLMs via CLI, Unix pipes, and crowdsourced prompts
- https://github.com/danielmiessler/fabric
- pbpaste on MacOS to paste from clipboard as input to fabric
- Could use a .z.pi handler to interact with fabric CLI.
- awq and jqq could be used to process the output and chain requests
- https://github.com/adavies42/qist/tree/master/lib
- Can run LLM locally using llama.cpp
- https://github.com/ggerganov/llama.cpp/
- server provides OpenAI-compatible REST end point and simple ChatUI
  - https://github.com/ggerganov/llama.cpp/tree/master/examples/server
- Slightly-older releases include compiled binaries:
  - https://github.com/ggerganov/llama.cpp/tree/master/examples/server
- Can also look into llamafile:
  - https://hacks.mozilla.org/2023/11/introducing-llamafile/
(10 min) Concise / accurate description of q for an LLM?
- Context windows of 64k tokens (~ 256 KB) are becoming mainstream.
- What would you put in there to explain q while leaving enough space for a code completion task?
- Don Orth's abridged manuals
- https://code.kx.com/q/learn/archive/
- HTML docs
- https://github.com/KxSystems/kdb/tree/master/d
(5 min) AOB, Q&A, Adjourn.
- FINOS AI Readiness SIG in the works
- https://github.com/finos/ai-readiness
- KDB.AI team interested in hearing about scale of current RAG projects, particularly ones for alpha generation.