0

Likes

0

Saves

Back to updates

[r/ML] [P] I trained a language model from scratch for a low resource language and got it running fully on-device on Android (no GPU, demo)

Impact: 8/10

Swipe left/right

Previous Article

Move to the previous article in the active list

Move to the next article in the active list

Summary

A developer successfully trained a family of language models (BULaMU) for Luganda, a low-resource language, entirely from scratch. These models, ranging from 20M to 110M parameters, are highly compute-efficient and can run fully offline on Android devices without needing a GPU or internet connection. An accompanying Android app, E.A.S.T., allows users to interact with these on-device AI capabilities, significantly expanding access to AI for underserved communities.

Continue Reading

Explore related coverage about community news and adjacent AI developments: [r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT, [r/LocalLLaMA] karpathy / autoresearch, [r/ML] [R] Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis (236 occupations, 5 US metros), [r/ML] Building behavioural response models of public figures using Brain scan data (Predict their next move using psychological modelling) [P].

Related Articles

Comments

Sign in to leave a comment.

Loading comments...