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yeesian

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Goodbye Python-Mip?

oberdieck.dk
1 points·by yeesian·2 jaar geleden·0 comments

Esmeralda

esmeralda.org
20 points·by yeesian·2 jaar geleden·18 comments

Coding Patterns – The CP-SAT Primer

d-krupke.github.io
2 points·by yeesian·2 jaar geleden·0 comments

A Strengthened Implementation of CuPDLP for Linear Programming by C Language

arxiv.org
1 points·by yeesian·2 jaar geleden·0 comments

Understanding the Decline of Impact Factors in Informs Journals

pubsonline.informs.org
1 points·by yeesian·2 jaar geleden·0 comments

Towards Large Language Models as Copilots for Theorem Proving in Lean

arxiv.org
3 points·by yeesian·2 jaar geleden·0 comments

Exploring the Limits of Transfer Learning with a Unified Transformer (2019)

arxiv.org
12 points·by yeesian·2 jaar geleden·1 comments

How do I get started with Jax on TPU VMs

github.com
23 points·by yeesian·2 jaar geleden·17 comments

Linearity of Relation Decoding in Transformer Language Models

lre.baulab.info
1 points·by yeesian·2 jaar geleden·0 comments

LLM Evaluation: Everything You Need to Run, Benchmark Evals

arize.com
2 points·by yeesian·2 jaar geleden·0 comments

Speech and Language Processing (3rd ed. draft)

web.stanford.edu
214 points·by yeesian·2 jaar geleden·32 comments

The Greatest Meme Template

readtrung.com
31 points·by yeesian·2 jaar geleden·9 comments

Coalescence: Making LLM inference 5x faster

blog.dottxt.co
5 points·by yeesian·2 jaar geleden·0 comments

Fast JSON Decoding for Local LLMs with Compressed Finite State Machine

lmsys.org
1 points·by yeesian·2 jaar geleden·0 comments

Generative Uncertainty

vaughntan.org
7 points·by yeesian·3 jaar geleden·0 comments

[untitled]

1 points·by yeesian·3 jaar geleden·0 comments

My Life as a Con Man (2020)

swyx.io
4 points·by yeesian·3 jaar geleden·0 comments

Using llama-cpp-Python grammars to generate JSON

til.simonwillison.net
2 points·by yeesian·3 jaar geleden·0 comments

Finite-State Transducers in Language and Speech Processing (1997)

aclanthology.org
3 points·by yeesian·3 jaar geleden·1 comments

Finite-State Transducer

en.wikipedia.org
6 points·by yeesian·3 jaar geleden·1 comments

comments

yeesian
·3 jaar geleden·discuss
FST implementation in Rust: https://news.ycombinator.com/item?id=38096511
yeesian
·3 jaar geleden·discuss
Relatedly (from a data structures perspective): https://news.ycombinator.com/item?id=10551280
yeesian
·3 jaar geleden·discuss
This was posted in the past (https://news.ycombinator.com/item?id=20502032); just re-posting now in light of their potential application to LLM grammars (https://news.ycombinator.com/item?id=38082219 for context)
yeesian
·3 jaar geleden·discuss
Relatedly:

Llama: Add grammar-based sampling - https://news.ycombinator.com/item?id=36819906 (105 comments)

ReLLM: Exact Structure for Large Language Model Completions - https://news.ycombinator.com/item?id=35829399 (13 comments)

Show HN: Structured output from LLMs without reprompting - https://news.ycombinator.com/item?id=36750083 (54 comments)

Show HN: LLMs can generate valid JSON 100% of the time - https://news.ycombinator.com/item?id=37125118 (303 comments)

A guidance language for controlling LLMs - https://news.ycombinator.com/item?id=35963936 (190 comments)

LMQL: A query language for programming (large) language models - https://news.ycombinator.com/item?id=35956484 (12 comments)
yeesian
·3 jaar geleden·discuss
https://archive.ph/hlh06
yeesian
·3 jaar geleden·discuss
https://cloud.google.com/vertex-ai/docs/start/explore-models...
yeesian
·3 jaar geleden·discuss
https://cloud.google.com/vertex-ai/docs/start/explore-models...
yeesian
·3 jaar geleden·discuss
(This is more of a link-dump than a paper discussion --)

For the line of inquiry w.r.t tensor compilers and MLIR/LLVM (linalg, polyhedral, [sparse_]tensor, etc), I personally found the following really helpful: https://news.ycombinator.com/item?id=25545373 (links to a survey), https://github.com/merrymercy/awesome-tensor-compilers

I also have an interest in the community more widely associated with pandas/dataframes-like languages (e.g. modin/dask/ray/polars/ibis) with substrait/calcite/arrow their choice of IR. Some links: https://github.com/modin-project/modin, https://github.com/dask/dask/issues/8980, https://news.ycombinator.com/item?id=16510610, https://news.ycombinator.com/item?id=35521785

I broadly classify them as such since the former has a stronger disposition towards linear/tensor-algebra, while the latter towards relational algebra, and it isn't yet clear (to me) how well innovations in one carry over to the other (if they do), and hence I'm also curious to hear more about proposals for a unified language across linalg and relational alg (e.g. https://news.ycombinator.com/item?id=36349015).

I'm particularly interested in pandas precisely because it seems to be right at the intersection of both forms of algebra (and draws a strong reaction from people who are familiar/comfortable with one community and not the other). See e.g. https://datapythonista.me/blog/pandas-20-and-the-arrow-revol... and https://wesmckinney.com/blog/apache-arrow-pandas-internals/
yeesian
·3 jaar geleden·discuss
Previous discussion: https://news.ycombinator.com/item?id=12399580
yeesian
·3 jaar geleden·discuss
That's cool, thanks for sharing! Do you know how close they are to their example use cases [1]? So far I've only been able to find a tool for calcite SQL parsing [2] but not the portion connecting to Arrow C++ compute kernel yet.

[1]: https://substrait.io/#example-use-cases [2]: https://substrait.io/tools/producer_tools/