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Lossfunk

Lossfunk

Software Development

the AI lab for independent researchers

About us

We're building highly efficient superintelligent AI models

Website
lossfunk.com
Industry
Software Development
Company size
11-50 employees
Headquarters
Bengaluru
Type
Privately Held

Locations

Employees at Lossfunk

Updates

  • Hello Everyone,   Be part of an insightful talk this Friday, 20th June 2025.   Topic: Why Deep Learning Works So Well (even with 100 data points!) by Paras Chopra   Deep Neural Networks break the classic ML theory of bias-variance tradeoff. These models often have millions or billions of parameters, and yet they don't overfit the training data (as seen by continual decrease in test loss). What's happening? In this talk, we will build intuition about how deep learning works from a generalization point of view. We will talk about topics such as double descent, benign overfitting, flat basins, and so on. We will also fit a 1.8 million model on 100 data points, and show how it doesn't overfit!   (please request an invite first via the form below as we have limited space) Link in Comments

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  • Hey Everyone, Be part of an insightful talk this Wednesday, 18th June 2025. Topic: Your Speech Model Isn't Bad - It's Just Built for Someone Else About the talk: Speech recognition often fails because it doesn't consider the diversity of real voices that arises from differences in age, gender, dialect, language and many other factors. Your own voice changes as you grow, or sometimes even when you change countries! In this talk, you'll discover why having a deep understanding of your end-user and building accordingly is crucial. We will explore this through my personal experience of building speech-to-text models in Gujarati and Hindi for children (primarily rural) in Gujarat and Rajasthan respectively. (please request an invite first via the form below as we have limited space) Link in Comments About the speaker: Ayush Deva  Current: ML Engineer @ Google Previously: ML Engineer @ Wadhwani AI, B.Tech - IIIT Hyderabad Date and time: 18th June, 6pm-7pm

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