@bhash@Krutrim The only way is to make our own fundamental model. Why aren't we making fundamental models in our languages. Hindi, Marathi, Bengali, Sanskrit, Tamil etc. so much literature is available in these languages. No efforts are taken to digitize these languages.
"Brain Rot" just won Oxford Dictionary's 2024 Word of the Year.
Not because it's trendy.
But because it's happening to more people every day.
Here's what experts say is the leading cause of this new epidemic.
(Hint: It's more common than you think):
@ayushon_twt Ispe hate to banta hai, no real material, ye too connected, short content ke duniya ke wajah se she got famous. World was better when very few had access to the internet
@ayushon_twt First of all they're not a gen z band they've been making music since late 90s! They appeal to the 90s born people more, who have a decent amount of savings to actually buy the ticket and enjoy the show without guilt. I mean we don't need to hate on everyone 😔(I didn't go)
Common components in a Cloud-hosted #generativeAI app:
1. Application hosting
2. Model hosting
3. Model
4. Grounding solution
5. Database
6. Storage
This guide walks through each of these components—helping you choose which Google Cloud products to try → https://t.co/5DLV2qjYIV
Flower AI Summit 2025 is coming in hot 🚀
Join us at the world's premier event for decentralized AI innovation; whether you’re a researcher, developer, or AI enthusiast, FS25 offers something for everyone passionate about shaping the future of AI.
Our growing lineup of speakers will inspire to "train different"
= Anna Kazlauskas (@annakaz), CEO of Open Data Labs and creator of Vana (@withvana)
= Jonathan Frankle (@jefrankle), Chief AI Scientist @databricks
= Patrick Foley, OpenFL Lead Architect and Engineering Manager @Intel
= Shiqiang Wang (@shiqiang_w), Research Scientist @IBM
= Holger Roth (@holgerrroth), Principal FL Scientist @nvidia
.. and many more to be annouced soon
Gain insights into topics such as medical breakthroughs with Federated Learning (FL), innovative security strategies, decentralized inference, advancements in Privacy-Enhancing Technologies (PETs), on-device Large Language Models (LLMs), and much more.
Spaces are limited for our onsite event at King’s House, London, taking place March 26–27, 2025. Don’t miss this opportunity to connect with pioneers in decentralized AI and a vibrant community of researchers and developers. 🌼
🎟️ Register now—click the link in the comment below.
Stay tuned as we announce more speakers!
What if the "bring data to the model" training is changed to "bring model to the data" training! Privacy Preserving ML for the win. Do check out Federated Learning #PrivacyMatters#DataPrivacy
Day 17/75 - A thread to unlock the power of your logic! 🔓Forget memorising solutions - we're diving into the 'why' behind problem-solving.
Motivated by @kirat_tw@striver_79
Let's grow together!#100DaysOfCode