ANNOUNCING THE FIRST WEB3 HUB IN ITALY!
It’s official! During the @ETHRome closing ceremony, we announced the Urbe Hub project, a physical space opening in 2025 for every web3 builder who wants to join us in Rome.
This wouldn’t have been possible without the support of @AKASHAorg, the main sponsor of this project. With their experience from @AKASHAworldBCN, we’re sure this is the perfect partnership to bring Urbe Hub to life.
Stay tuned for more updates in the coming days, and start planning your trip to Rome in 2025, you’ll always be welcome by the urbe.eth fam!
1 MONTH TO GO 😏 Are you ready ?
🏆 70k Prizes
🧑💻 350+ Devs, Mentors & Founders
⏳ 40 Hours of Coding, 5 Workshops
👯♂️ 37 Partners
🪅 7 Side Events
🧵 Discover ETHRome 2024 - the hackathon for builders by builders 💫
WHY PRIVACY? 🤔
✨ @ethereum needs better privacy solutions
✨ Why it's essential
✨ Practical approaches
✨ #web3 privacy techs
✨ Urbe’s perspective
✨ What we hope to see being developed
Here’s why #privacy matters to us 🧵
🥁🥁🥁
ENS actions with a prompt are now available on the Brian app!
Register.
Renew.
Check registration and renewal costs.
Check availability and expiration.
Resolve an ENS to an address and vice-versa.
All in the same place, all with a simple prompt.
🤖 Who will be the first to prompt:
"Register thefirstenswithaprompt.eth for 12 months and set it as my primary name"
Brian app:
https://t.co/FVIxwRbnjV
Cc: @ensdomains, @ENS_DAO
ETHRome 2024 Official Launch 🎺 🎺🎺
The Best Hackathon Experience crafted by Builders for Builders 🧵
🏛️https://t.co/U5RG40H5Xk
🗓 4-6 October 2024
🔐 Privacy & AA Tracks
Discover the tracks, our partners, early sponsors, and how to apply!
@HungryMarcio fuorigioco millimetrico --> "povero Bayern Monaco!111!!111"
mano netta in area al 83' in finale sul risultato di 1-1 --> "ce devi sta', Mourinho ha esagerato a reagire così"
Sempre più fiero di essere dell'As Roma
🎉 Today marks the second birthday of @urbeEth !
We celebrate a community born to change the Italian narrative on crypto. A group for those who truly believe in Web3 and strive to build it.
To celebrate, share with us your best moment with Urbe and check out what we've done!👇
Emperor Orbulus has spoken ( senators call him @orbuloeth ). The much anticipated games will return this Gregorian year, 3 moons after the summer solstice. Come for the glory #ETHRome2024 👀 Oct 4-6th
RAG Or Fine-Tuning?
There is a lot of confusion about when to apply which method.
RAG makes sense when you have a custom knowledge base and want a standard ChatGPT-like interface on top of it. RAG has multiple components to it and can be tricky to get right. However, it's definitely easier to implement than fine-tuning.
Fine-tuning makes sense when you have several supervised examples of request responses and are looking for a particular format for your responses. That is if you want the model to adapt to a particular type of response. For example, you can fine-tune a model to be good at a specific type of SQL code generation.
Sometimes, but not often, it makes sense to do both. Using something like Abacus AI makes applying either method on open-source and closed-source LLMs super simple.
Of course, we are particularly partial to open-source, especially if it can do the job!