Salesforce's xLAM-1B 'Tiny Giant' AI model, with only 1 billion parameters, is outperforming larger competitors in the on-device AI space. This model, which is a part of Salesforce's LeanAI initiative, offers superior efficiency and performance while running on less computational power and keeping data safer. The xLAM-1B model is designed to operate on local servers and mobile devices, making it a versatile tool for various applications. Additionally, Salesforce plans to release an open-source version of the xLAM-1B model soon, further promoting its adoption and innovation in the AI community. The model packs a specialized punch in terms of efficiency and performance.
Fine-tuned as a specialized AI agent, our “tiny giant” xLAM-1B can run on-device or local servers while making decisions, executing tasks, and interfacing with systems more efficiently than larger models. Open source version coming soon! #AgenticAI #SML https://t.co/J6hHkXKxLH
Small is big: Meta bets on AI models for mobile devices https://t.co/55HgaXJWSC
Why is our xLAM-1B micro model such a big (and by big we mean tiny!) deal? It's #LeanAI that packs a specialized punch, runs on less, and keeps your data safer. Open-source release incoming—follow us to stay tuned, and dive into the buzz: https://t.co/7O0pco2FOe