hack_ml

8 ms·

1.
by hack_ml 2y ago
You will have to send one page at a time, most of this work has to be done via RAG. Adding a large context (like a whole PDF), still does not work that well in my experience.
2.
by hack_ml 2y ago
The ablation studies and the dataset can be found here: https://www.zyphra.com/post/building-zyda-2
3.
GPU Acceleration with Polars(pola.rs)
8 points by hack_ml 2y ago|0 comments
4.
by hack_ml 2y ago
There are some integrations for stuff like https://docs.rapids.ai/visualization : HoloViews hvPlot Datashader Plotly Bokeh Seaborn Panel PyDeck cuxfilter node RAPIDS
5.
by hack_ml 2y ago
There is dask cudf which gets a lot of the way there. https://docs.rapids.ai/api/dask-cudf/stable/
6.
by hack_ml 2y ago
I was conversing with it in Hinglish (A combination of Hindi and English) which folks in Urban India use and it was pretty on point apart from some use of esoteric hindi words but i think with right prompting we can fix that.
7.
by hack_ml 3y ago
Nvidia announces Nemotron-4 15B introduce Nemotron-4 15B, a 15-billion-parameter large multilingual language model trained on 8 trillion text tokens. Nemotron-4 15B demonstrates strong performance when assessed on English, multilingual, and
8.
Nemotron-4 15B large multilingual language model trained on 8T tokens(arxiv.org)
3 points by hack_ml 3y ago|1 comments
9.
EffVer: Version your code by the effort required to upgrade(jacobtomlinson.dev)
98 points by hack_ml 3y ago|46 comments
10.
7x speed improvement for LLaMA in less than 10 lines of code(github.com)
2 points by hack_ml 3y ago|1 comments
11.
Accelerating Topic Modeling on GPUs with Rapids and Bert Models(medium.com)
1 points by hack_ml 4y ago|0 comments
12.
by hack_ml 4y ago
Its seamless to accelerate BERTOPIC on GPU's with cuML now with the latest release. (v0.10.0) Checkout the docs at: https://maartengr.github.io/BERTopic/faq.html#can-i-use-the-... All you need to do is below
13.
by hack_ml 5y ago
On the SQL front there has been some active work to make that experience better with DASK. See dask-sql: https://dask-sql.readthedocs.io/en/latest/pages/api.html
14.
by hack_ml 5y ago
You can probably use https://github.com/rapidsai/cudf/tree/main/python/dask_cudf a dask wrapper around cuDF.
15.
by hack_ml 5y ago
RAPIDS by NVIDIA has an equivalent API open source version of Sckit-Learn https://docs.rapids.ai/api/cuml/stable/ which seems to offer 100x speedup for a lot of these models.
16.
Dask as a Spark Replacement(coiled.io)
1 points by hack_ml 5y ago|0 comments
17.
19.25x Faster TF-IDF on GPUA with Dask and Rapids than CPUS(medium.com)
1 points by hack_ml 5y ago|0 comments
18.
Comma Three [video](youtube.com)
186 points by hack_ml 5y ago|87 comments