Viewing profile — mbeissinger

You might want to check out the conversational chunking from this paper: On Memory Construction and Retrieval for Personalized Conversational Agents https://arxiv.org/abs/2502.0558…

Our driving force is to make this technology as accessible as possible to as many people as possible. We believe that machine learning will be a huge new way that people interact w…

I don't see a way to edit the title -- is that possible for someone who isn't OP?

We also want to bundle some examples with future releases so you can have data to start, great suggestion!

We believe there are several advantages of Lobe over tools like Google AutoML :) Lobe is making the entire process of creating custom machine learning accessible, from creating you…

No catch! We are first and foremost trying to make this technology accessible to as many people as possible, and we want to grow an ecosystem around it. Business models around that…

Yep we are starting with image classification for this initial beta launch, but plan to expand to more data types and problem types in future releases! The vision is to make a tool…

I would love to see a video of that!

I believe it is this xkcd https://xkcd.com/1425/ sorry research teams :D

Hey Markus from Lobe here :) all images and labels stay private to your computer, we don't ever see any of it. We only collect some generic app usage data for telemetry if you opt-…

Hi, Markus here from the Lobe team. The Lobe app is free and you will always be able to train for free on your computer! Our goal is to make machine learning accessible to anyone.

Great work as always from hardmaru :)

Thanks! Finding the right way and levels to present granularity was definitely a challenge for us developing this product.

We are currently accepting applications for private beta users, and don't have public pricing information yet.

Yeah! Adam and I met at NIPS 2015 when I demoed a gui prototype for OpenDeep, talking about ways to let non-coders build neural nets. Around the same time, we saw that QC Brain vid…

Our vision is to be the tool that starts with great settings for beginners but lets you graduate into the internals as you become more expert - at the lowest level you can interact…

Yep growing as a platform is the vision! We are committed to accessibility for people using models/components vs. paying but good point about considering the opportunity cost of so…

Unreal was one of the early inspirations for going the visual route - completely agree!

We are focusing on free to access any model explicitly shared by the user and pay for training/deploy resources as a service, but might consider mixing in a paid route for users to…

We are also exploring exporting to other formats to run in different environments locally, or even code generation.

Yes definitely, we support desktop currently with the Tensorflow SavedModel download if you need the model locally, or using the REST API for an application with online connectivit…