PyDataMTL

Join us, we're live: youtube.com/watch?v=NrdJOf…

Our next meetup is dedicated to Data Engineering and Data Management. Join us on Friday, March 19th: meetup.com/PyData-MTL/eve…

If you missed our latest NLP meetup, don't worry, you can watch the recording of it whenever you have time :) youtube.com/watch?v=RG-yV5…

Join our meetup tomorrow, February 25th at 5:30 EST: meetup.com/PyData-MTL/eve… (5/5)

I will end with ways on improving text classification via features derived from the DSTD representation. Details can be found at shubhanshu.com/phd_thesis/. (4/5)

Finally, tomorrow we will learn from @TheShubhanshu. His talk is called "Understanding digital social trace data via Information Extraction" Abstract: I will describe how to efficiently extract information (e.g. phrases, named entities, and categories like topics, sentiment,(1/5)

We will learn about the development process, deep dive into the code, and talk about applications. 3/3 Join the meetup: meetup.com/PyData-MTL/eve…

we realized there was something missing: one that is developed for beginners and newcomers to the field. In this talk, we will get to know the JoeyNMT toolkit (github.com/joeynmt), a minimalist toolkit for machine translation built on PyTorch. 2/3

The second talk on the agenda of our upcoming NLP meetup is "Learning to translate with JoeyNMT" by @KreutzerJulia. Abstract: Machine translation is one of the most impactful NLP applications. Despite many toolkits for it being open-sourced, 1/3

@micbucci @jeremyphoward @GuggerSylvain Yes, there will be a recording.

@PyDataMTL @jeremyphoward @GuggerSylvain Is the event going to be recorded? I am super interested, but in Europe, which makes it quite hard to attend live

The first talk of our next meetup: "Fine-tuning a large language model without your own supercomputer" by @GuggerSylvain Abstract: State-of-the-art results in NLP involve more and more the use of a generic pretrained language model fine-tuned on a specific downstream task. 1/4

5/4 meetup.com/PyData-MTL/eve…

and show how to apply them on an example of fine-tuning. In particular, we will see how the variants of ZeRO are currently implemented in the Transformers library, by the use of fairscale and deepspeed. 4/4

This Thursday, February 25th, join us at 5:30 pm EST for an NLP-focused meetup with talks by @GuggerSylvain, @KreutzerJulia, and @TheShubhanshu meetup.com/PyData-MTL/eve…

I'll be talking at PyData Montreal at the end of the month about the recent additions to the Transformers library to fine-tune big models :-)

Really excited to present some work from my PhD thesis (@iSchoolUI @DiesnerLab) on social media information extraction. Also, looking forward to the talks of @GuggerSylvain and @KreutzerJulia More details: SocialMediaIE: socialmediaie.github.io Thesis: shubhanshu.com/phd_thesis/