@DThompsonDev Great, they need to find a way to feed it back to StackOverflow website once it is curated, else we face a downward trend with less and less SO content = less and less relevancy with time as people will not anymore pay effort to feed SO with content…
By embedding ChatGPT into Teams, Microsoft sets itself for a giant leap in augmenting employee productivity :
- Meeting Summarization: Automated meeting notes, recommended tasks, and takeaways.
- Real-Time Language Translation between 40 different langu…https://t.co/62zTd6YEuk
La contribution d'@huggingface à la communauté est énorme, l'impulsion qu'ils donnent au #NLP est vraiment belle à voir. Ça va très vite alors abonnez vous à la newsletter mensuelle, qui est excellente !
We've heard your requests! Over the past few months ... we've been working on a Hugging Face Course!
The release is imminent. Sign-up for the newsletter to know when it comes out: https://t.co/XPM9yeFNzG
Sneak peek; Transfer Learning with @GuggerSylvain:https://t.co/GD2y4u3loU
@DynamicWebPaige Yes, the ROI of deep learning approches is usually weaker for most real-world use-cases. I've seen too many teams go straight for custom DL just for the sake of it. We need more pragmatism and that's too slowly taking root
@tomg_@thenextweb Malheureusement plutôt classique et transposable à d'autres secteurs : les décideurs n'y connaissent pas grand chose et fantasment alors sur les promesses de l'IA, en oubliant les sujets d'infrastructure d'industrialisation + les besoins pratiques du métier
The next episode of Snorkel #ScienceTalks is out. Tune in to learn more about @spacy_io, industrial-strength NLP, & the importance of bringing together different stakeholders in the ML dev process, from our chat with @_inesmontani, founder of @explosion_ai https://t.co/pknUI19rLT
@svpino Yes. And nevertheless, know that there is no shame in giving up after experimenting a while, if you don't get fun from it. You should not force yourself just because everyone seems to want to pursue the same path.
@svpino Yes. That's what some people call "centaurs" systems. Human+AI always outperform pure AI or human systems, and especially in a business setting where accountabilty is key. Also, users tend to be much more efficient in exception control than in transactional activities.
@AndrewLBeam Well it's not very surprising at all, it just learned what is a reality across most/all professional areas. What does it reply if you prompt with questions about if it's fair or ok to see such differences in salary ?
Giveaway + Release:
I'm a fan of the Top Down Teaching approach:
In my interview w @mlpowered, we talk about his book w @OReillyMedia, which teaches you using a top down approach:
"Building ML Powered Apps"
Audio: https://t.co/wBZBDRjFoD
Video: https://t.co/QmBbn5C6oy
.@OpenAI showed an cool code generation demo at #MSBuild2020 of a big language model trained on lots of github repositories
The demo does some non-trivial codegen specific to the context.
Eagerly waiting for more details!
Video: starting at 28:45 https://t.co/K1OApWH6hc