shipfeedAI news, curated daily

01:21:42 CET
28 JUL01:21:42shipfeed⋯
pull to refreshlast sync
Just in — 30 new
§ local-llm · storyline

AI developer runs 28.9M-parameter model on $10 ESP32-S3

AI developer runs 28.9M-parameter model on $10 ESP32-S3 microcontroller using Google's Per-Layer Embeddings technique.

yesterday · · primary fetch1 sourceupdated yesterday ·

AI developer runs 28.9-million-parameter model on $10 ESP32-S3 microcontroller — uses Google's Per-Layer Embeddings technique, stores table on 16MB Flash memory Tom's Hardware

read full article on Tom's Hardware ↗
§ sources1 publication · timeline below
  1. Tom's HardwareAI developer runs 28.9-million-parameter model on $10 ESP32-S3 microcontroller — uses Google's Per-Layer Embeddings technique, stores table on 16MB Flash memoryprimary