“Meta researchers just proposed MobileLLM – a family of optimized smaller models for on-device AI apps. MobileLLM set new SOTA benchmarks for accuracy among similar models using model architecture over data and parameters. We’re about to see a mobile AI explosion pretty soon. https://t.co/40UEFA5ovR” / X – https://twitter.com/rowancheung/status/1762345765429555570

“Just dropped @private_llm v1.7.7 for macOS! 🎉 Added 3 cool LLMs – Google Gemma 2B IT, BioMistral-7B & Nous-Hermes-2-Mistral-7B-DPO. Privacy-first, as always. Check it out! https://t.co/9l6E7rrDlP https://t.co/WSS0Fql5eG” / X – https://twitter.com/Thilak/status/1762129937618669801

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases – https://arxiv.org/pdf/2402.14905.pdf

Google expects more advanced AI models to arrive on phones in 2025 – https://www.cnbc.com/2024/02/26/google-expects-more-advanced-ai-models-to-arrive-on-phones-in-2025.html

Be Sure To Read “This Week In AI”

This week’s executive overview and top links are here:

AI News #22: Week Ending 03/01/2024 with Executive Summary and Top 25 Stories

The post you just read is an extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile. 

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