Leandro Alves

[Leandro Alves @ldalves]

@kyr_dreamer @jobergum @HornetDev from the blog post:

> Each test ran on a single AWS Graviton4 instance with 32 vCPUs and 128 GiB of memory. Hornet served the 100M-document index entirely from memory in about 56 GiB.

[Leandro Alves @ldalves]

@jobergum @HornetDev 🚀

[Jo Kristian Bergum @jobergum]

Wrote a blog post on why we are building a new retriveal engine for agents https://t.co/nJlJXkutE3

[Jo Kristian Bergum @jobergum]

New bio dropped today. Let's go!

[vespa.ai @vespaengine]

Spotify launches semantic search in Podcasts, powered by https://t.co/9tjtArQxdq

[Jo Kristian Bergum @jobergum]

We have updated our news search and recommendation tutorial for https://t.co/UqaWLT7FpD - A small thread to highlight some awesome Vespa features which are demonstrated in the tutorial 🧵1/10

[Jo Kristian Bergum @jobergum]

From research to production: scaling a state-of-the-art machine learning system.

A lot of experiments went into this blog post. From a set of research python scripts to a production ready web serving using @vespaengine.

https://t.co/BYoB6cxGZa

https://t.co/DeeL552LX3

[vespa.ai @vespaengine]

New blog post: Creating a state of the art question-answering system using https://t.co/myUCfjaZQm.

https://t.co/UMUI8NMTNr

[Jo Kristian Bergum @jobergum]

Great blog post on using https://t.co/UqaWLT7FpD for matching and ranking people! A challenging use case with intricated matching constraints. https://t.co/U1I8v7dqLw

[Jo Kristian Bergum @jobergum]

Submitted to #treccovid using @vespaengine's cord19 index. Sample topic question https://t.co/zbuW3Dtc5y

[Jo Kristian Bergum @jobergum]

https://t.co/UqaWLT7FpD cord-19 index updated with latest published CORD-19 dataset from 2020-04-03. Sample https://t.co/qzWQwrSJgq @vespaengine

[Leandro Alves @ldalves]

@gurugk @vespaengine @Yahoo @verizonmedia https://t.co/croA5yLgT3 :)

[Leandro Alves @ldalves]

@ryanflorence We’ll be alright here as well. So no cancel during this crisis and we keep going. :)

[Guru Gowrappan @gurugk]

Very proud of @verizonmedia’s @vespaengine (#opensource big data serving engine) for stepping up to the COVID-19 Open Research Dataset Challenge (CORD-19) and making helpful data easily searchable. You can read about the Challenge here: https://t.co/7TmsywOBO7

[Guru Gowrappan @gurugk]

The @vespaengine (#opensource big data serving engine) team indexed 45k scholarly articles and created a search engine (https://t.co/4hB29y35X6) to help the medical community efficiently sift through research and synthesize the findings. This is how we move #forwardtogether.

[Jo Kristian Bergum @jobergum]

One of many applications which uses @vespaengine in @verizonmedia. Check out this presentation from AWS re:Invent 2019: How Verizon Media implemented push notification using Amazon DynamoDB. 150K/s push notifications, resolving of targets done by Vespa. https://t.co/QstnrvJ4ju

[vespa.ai @vespaengine]

If you have https://t.co/myUCfjaZQm it's not too late to make yourself a state of the art and infinitely scalable e-commerce site in time for Black Friday.

@jobergum explains how in https://t.co/0DYPVNWU6g

[Leandro Alves @ldalves]

@hegefor Agree! 🤣

[Leandro Alves @ldalves]

@hegefor BTW, what’s king of business is running in the church there today? Is it a coffee place? 😋