#AI2026 Google's TurboQuant cuts LLM memory use.
#TurboQuant IBM, AMD power efficient AI hardware.
#SmallAI World Bank backs lightweight AI for health and education.
#AI2026 #TurboQuant #SmallAI
View in Timelines
Z80-μLM, a "Conversational AI" in just 40KB, sparked a lively HN discussion. It highlights the potential for localized AI, resource efficiency, and the future of small language models. A fascinating look at what's possible with minimal resources. #SmallAI 1/6
The discussion highlighted the importance of small, optimized AI models. Like studying simple organisms in biology, small model research offers deep scientific understanding and practical applications, pushing the boundaries of efficient AI design. #SmallAI 2/5
Okay. Now I've seen literally everything. An LLM and an inference engine, embedded in a font. fuglede.github.io/llama.ttf/ #SmallAI www.youtube.com/watch?v=Q4bO...
By me for @hacksterio.bsky.social, "Benchmarking TensorFlow and TensorFlow Lite on Raspberry Pi 5." The big take away from these new benchmarks is that the new #RaspberryPi5 has similar performance when using TensorFlow Lite to the #CoralTPU. #TinyML #SmallAI
By me for hackster.io, "Bringing GPT-4o in From the Cloud to the Edge." #TinyML #SmallAI www.hackster.io/news/bringin...
By me for Hackster.io, "Creating cross-platform Small AI with PicoLLM." www.hackster.io/news/creatin... #tinyML #smallAI
It’s sort of interesting to see the financial markets paying attention to #SmallAI. That means that anything that affects “big” AI is important enough to move the markets. Makes sense, if it’s going to affect the $NVDA stock price, it’ll affect the market. finimize.com/content/smal...