Mastodawn

Since so many of us are choosing Canadian and local, maybe it's time to look at Ontario wines? Chatted with a couple of local wine experts and got some ideas about some ideas beyond what's on LCBO shelves.

https://www.cbc.ca/news/canada/kitchener-waterloo/jasmine-mangalaseril-ontario-wines-beyond-lcbo-shelves-1.7507938

#Canada #FoodWriting #WaterlooRegion #WellingtonCounty #GuelphFoodies #Waterloofoodies #kitchenerfoodies #CambridgeFoodies #KitchenerWaterlooFoodies #kweats #CanadianFood #Wine #OntarioWines #VQA #VirtualWineries #LocalFood #BuyLocal #ExploreWaterlooRegion #CBC #Mastonom

As interest in Ontario wines grows, these restaurants are taking notice: Jasmine Mangalaseril | CBC News

Meg Alford, owner of Guelph’s Two Faces natural wine bar, said there’s an uptick in interest in Ontario-made wines and people are starting to ask more questions about what they're drinking.

CBC

GenAINews.co Jul 30, 2024

Just read an interesting article about zero-shot VQA evaluation using LLMs on Docmatix! Do we still need fine-tuning for VQA systems? 🤔 #VQA #LLMs

https://huggingface.co/blog/zero-shot-vqa-docmatix

LAVE: Zero-shot VQA Evaluation on Docmatix with LLMs - Do We Still Need Fine-Tuning?

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Mushifoot Dec 15, 2023

Opening the Canadian sauvignon blanc 🍇🍁#canada #wine #ontario #VQA

Jens Eisert Jan 18, 2023

This is not really a paper, but rather a note that stresses that if one implements a #variationalprinciple like in #VQA for translationally invariant #Hamiltonians, one better obtains energy densities that scale better than a small constant.

https://scirate.com/arxiv/2301.06142

A note on lower bounds to variational problems with guarantees

Variational methods play an important role in the study of quantum many body problems, both in the flavour of classical variational principles based on tensor networks as well as of quantum variational principles in near-term quantum computing. This brief pedagogical note stresses that for translationally invariant lattice Hamiltonians, one can easily derive efficiently computable lower bounds to ground state energies that can and should be compared with variational principles providing upper bounds. As small technical results, it is shown that (i) the Anderson bound and a (ii) common hierarchy of semi-definite relaxations both provide approximations with performance guarantees that scale like a constant in the energy density for cubic lattices. (iii) Also, the Anderson bound is systematically improved as a hierarchy of semi-definite relaxations inspired by the marginal problem.

SciRate