I have run out of severance and now I'm running out of savings. It's do or die now, folks. Job offers, job leads, job hunting advice...please send them all my way, and/or boost for reach. Freelancing is on the table, too. Details about me and what I'm looking for, to follow.
Anybody out there looking for an ML or software engineer with >30 years total experience and ~20 years in the industry?
I have extensive experience with #Python and #ML frameworks, particularly #TensorFlow, and I've worked on #NLP and #ImageProcessing both in the workplace and in personal open source projects. My resume is available here:
Trying something new, everyone is guaranteed an interview! Open interviews! For a limited time no one will be skipped (except for clear cases of abuse).
So we still have about 10 more 100% remote positions to hire for full-time market-fair positions here at QOTO/CleverThis.
100% remote, work from anywhere, even the beach, market-fair offers. Ethics first, we treat our people like family.
We have an urgent need for Machine learning experts with a background in NLP and Deep Learning (Natural Language Processing and Neural Networks). There is a focus on Knowledge Graphs, Mathematics, Java, C, looking for Polyglots.
We are an open-source first company, we give back heavily to the OSS community.
We need everything from jr to sr, data scientist to programmer. If your IT and your good, you might be a fit.
I will personally be both your direct boss, and hiring manager. I am also the founder and inventor.
The NLP position can be found at this link, other positions can be found on the menu bar on the left:
If you would like to submit yourself for an interview, which for a limited time I am guaranteeing you will get a first stage interview, then you can submit your application here, and even schedule your interview as you apply, instantly!
I find it properly disconcerting that many academics fell for the hype when clearly, it is purely the result of a very good lobbying effort on the part of Big Tech. So just to get things straight, here’s my personal experience of what happened in the field of Natural Language Processing (#NLP), starting back in 2017 (references at the end of the thread) 1/6
Dataset documentation fans, please check out "Data Statements: From Technical Concept to Community Practice" (McMillan-Major, Bender & Friedman 2023) -- reporting on how we took data statements v1 to v2 through learning with and from practitioners.
Back to Mastodon after the previous server I was on shutdown. I am studying natural language processing currently at the University of Bonn in Germany. I've been adding all sorts of academics on Mastodon from https://github.com/nathanlesage/academics-on-mastodon and am interested to expand my academic circles, especially as our work has been heading in more interdisciplinary directions. #UniBonn#NLP#AI#McMaster
Hey #NLP—we all know better than to use NLP tools that we can't assess, right? These folks are advertising on the #acl2023nlp Rocket.chat, but give 0 info about how their system was built or evaluated.
The link for http://generalizable.xyz goes to a page that literally just consists of their logo.
In what sense is this GPT? What training data did they use? What test data? What evaluation metric?
But more to the pt: We're here to learn from each other, not to read synthetic versions of papers.
Simplicity is a great virtue but it requires hard work to achieve it and education to appreciate it. And to make matters worse: complexity sells better. -Edsger Wybe Dijkstra
“A 14-line #python script using a 30-year-old data compression algorithm in combination with a 70-year-old classification algorithm beats modern #deeplearning methods”
Hi out there! :blobfoxwave:
My name is Stephan, I'm a Bavarian/German guy from #München 🤍💙, but currently living in #Basel/#Switzerland 🇨🇭.
PROFESSION :blobfoxcomputer:
Professionally, I am somewhere between #Egyptology and #MachineLearning. I'm currently doing my #PhD, applying ML approaches on fragmentary ancient Egyptian papyri, including things like #handwriting analysis, #NLP, #ObjectDetection, #Segmentation etc.
HOBBIES :ablobcatbongo:
Outside the university, I'm a very passionate #gamer, doing lots of PC video #gaming (#Steam is ❤️). I love #politics, I am a dedicated #plantdaddy. Sometimes I draw or write stories, whenever there is enough time left. I'm also a huuuge #Eurovision addict!
PRIVATE :QueerCat_Pride:
Pronouns are he/him, I'm definitely :heart_pride:, thus dedicated to #LGBTQIA rights. I also very much support #BLM and all minority rights in general - as they are an absolute necessity.
Struggling with the right search tools, confs, and wording - Looking for anyone with a good classifier to detect setting descriptions in fiction. Anyone in #DH#NLP know?
This is a great tutorial by Andrej Karpathy for building a GPT tokenizer from scratch with Python. This two-hour tutorial covers the following topics:
✅ Introduction to tokenization
✅ Handling different types of strings with Python
✅ Tokenizer implementation
✅ Decoding and encoding tokens and strings
✅ Train new tokens
I save and backup all the photos on a Synology NAS instead of using one of the online providers. However Synology Photos doesn't have good search capabilities. So I built a project to search through the images using natural language captions, and found that it works really well....
When performing reasoning or generating code, do #LLMs really understand what they’re doing, or do they just memorize? Several new results seem to have painted a not-so-rosy picture.
The authors in [1] are interested in testing LLMs on “semantic” vs. “symbolic” reasoning: the former involves reasoning with language-like input, and the latter is reasoning with abstract symbols.
Here, the ChatGPT C-LARA-Instance, Belinda Chiera, Cathy Chua, Chadi Raheb, Manny Rayner, Annika Simonsen, Zhengkang Xiang, and Rina Zviel-Girshin use the #OpenSource#CLARA platform to evaluate #GPT4's ability to perform #linguistics#NLP tasks such as #segmentation, #lemmatization and #glossing.
Nice example of how important emphasis can be for language understanding. Depending on which word in the sentence below is emphasized, it completely changes its meaning.
For #LLMs (and for our #ise2024 lecture) this means that learning to understand language purely from written text is probably not an "easy" task....
With #LLM applications more abundant, have researchers been using them to assist their writing? We know they have when writing peer reviews [1], but how about doing so in writing their published papers?
Liang et al comes back to answer this question in [3]. They applied the same corpus-based methodology proposed in [2] on 950k papers published between 2020 to 2024, and the answer is a resounding YES, esp. in CS (up to 17.5%) (screenshot 1).
OC [PROJECT] An application to search through Synology Photos using natural language captions
I save and backup all the photos on a Synology NAS instead of using one of the online providers. However Synology Photos doesn't have good search capabilities. So I built a project to search through the images using natural language captions, and found that it works really well....