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!
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.
Today I learnt about Masakhane, a 'grassroots NLP community for Africa, by Africans', helping make sure that the 2000+ languages and related names and cultures in the continent are represented in technology https://www.masakhane.io/#NLP#AI#MachineLearning#language
In the lead up to #ALTA2024
we're highlighting excellent talks and papers from previous ALTA events.
This paper, from Vlada Rozova, Jinghui Liu, and Mike Conway at #UniMelb from #ALTA2023, applies #NLP to help solve problems of ambiguity and complexity in #medical#clinical data.
This paper also formed part of the informative #tutorial series at #ALTA2023.
In the lead up to #ALTA2024, we're highlighting excellent talks and papers from previous ALTA events.
Here, listen to a #Keynote presentation from #ALTA2023 by Professor Heng Ji from #UniversityOfIllinois Urbana-Champaign, speaking to the #SmartBook - an #AI prophetess for disaster reporting and forecasting.
In this insightful talk, Professor Heng shows us how #NLP techniques provide better decision making tools.
Na niedzielnym spotkaniu, Gentoo Council zaaprobowało nową politykę dotyczącą zawartości tworzonej przy pomocy #AI:
"""
Zabrania się wnoszenia do Gentoo jakichkolwiek treści, które zostały utworzone przy pomocy narzędzi "sztucznej inteligencji" kategorii "przetwarzania języka naturalnego". Ta decyzja może zostać ponownie rozpatrzona, jeżeli pojawi się wniosek, wskazujący narzędzie tego typu, które nie rodzi wątpliwości w zakresie praw autorskich, etyki oraz jakości tworów.
""" (tłum. własne)
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
#AI#NLP#Schools#Education#USA#Texas: "Students in Texas taking their state-mandated exams this week are being used as guinea pigs for a new artificial intelligence-powered scoring system set to replace a majority of human graders in the region.
The Texas Tribune reports an “automated scoring engine” that utilizes natural language processing — the technology that enables chatbots like OpenAI’s ChatGPT to understand and communicate with users — is being rolled out by the Texas Education Agency (TEA) to grade open-ended questions on the State of Texas Assessments of Academic Readiness (STAAR) exams. The agency is expecting the system to save $15–20 million per year by reducing the need for temporary human scorers, with plans to hire under 2,000 graders this year compared to the 6,000 required in 2023.
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.
To clear up the hashtags a little bit:
Think of the components of a voice assistant / smartspeaker.
You need #stt (speech-to-text) or #asr (automatic speech recognition) on the "input" side of a user request and #tts (text-to-speech) on the "output" side.
To throw in another technology - #nlp (natural language processing) is used in the "middle" to really understand what the user request is all about.
(1/2) Foundation Models & Generative AI Course - MIT Course 🚀
The course by Rickard Brüel Gabrielsson is a crash course on foundation models. This is the second version of the course, and it covers topics such as:
✅ Introduction to foundation models
✅ Different algorithms (ChatGPT, Stable-Diffusion & Dall-E)
✅ Supervised learning
✅ Neural networks
✅ Reinforcement learning
✅ Self-supervised learning
✅ Auto-encoders
I wrote a couple of word games based on vector embeddings and machine learning a few years ago. One of my prototypes was like this one, where you'd add two words together to make a new word.
I immediately knew I couldn't release it because of combinations with horrible meanings. I swapped to embeddings that had been designed to reduce bias, and that helped a bit. But the risk surface was so high for something awful, I knew I couldn't share it with the internet.
This is wordbubble, a toy with a guessing game. It's fun and interesting! The appeal is there. I share it with friends. But as proud of this as I was... It's just not worth the headache of it spitting out racist or sexist shit, which it occasionally did!