Lending onchain is very inefficient.
Here's why:
- Most lent capital is unused and could more effectively be deployed elsewhere
- Limited price discovery between lenders/borrowers
- Risk management is at odds with liquidity
Dahlia solves it. Built on Royco. Pretty exciting
We're excited to announce that @SanctumAI is joining the QUBIC Labs family with a $25K grant through our R&D Innovation Program!๐๐ค
@SanctumAI is revolutionizing #AI privacy with:
โข Local open-source LLMs
โข On-device encryption
โข Offline AI capabilities
Join us in celebrating this milestone and welcoming the Sanctum team to the QUBIC Labs family๐ฅณ
Excited to share that @SanctumAI is sponsoring the AI Privacy & Safety night at @MIT on Nov 20th w/ @theaifurnace! I'll be demo-ing our app alongside other awesome companies, including @enkryptai, Versara AI & I-XRAY.
Come by if you're in Boston: https://t.co/DKjgi2jCjL
Today we're excited to release Sanctum v1.6 with a new UI and a set of new features for the dev community โจ
๐ญ New UI
With simplified navigation and updated interface Sanctum gets better, making room for even more exciting features.
๐๏ธ Local API Server
Powered by llama.cpp, our UI lets you run a local server with any @huggingface model in seconds. Customize ports, server parameters, and monitor resources with ease.
โ๏ธ Advanced Model Settings
Tweak local LLMs with custom prompt templates, hardware optimization, and inference parameters.
Both features are part of the new Dev mode, enabled by default.
Discover all the updates now ๐
https://t.co/tcmejpgR0o
We have successfully fine-tuned a Llama-3-8B-Instruct model on a custom dataset for function calling to the CoinGecko API. โจโจOne of our lead developers, Andrii Kotliar, stated โCreating the dataset took some time as we figured out how to ensure the model responds appropriately to day-to-day questions while also understanding when it needs to respond with a specific functionโฆ โจโจOnce we figured out the installation details for the @NVIDIAAIDev AI Workbench, the fine-tuning process was smooth, and the unsloth booster helped us achieve results much faster.โ โจโจLinks to the model and dataset on Huggingface below. Weโve made the repositories public for easy access.
Links below: ๐โจ
Model: https://t.co/BaIdNf20bm
Model (GGUF): https://t.co/BaIdNf20bm
Dataset: https://t.co/WhHcilmLxR
We're excited to share that we're now running a validator node for @TheRootNetwork ๐ฅ
If you're staking $ROOT on the portal and would like to to nominate it to Rootscan - it's easy to find us on the list ๐ค