Apple Publishes Sub-1-Bit LLM Compression Research
Apple's ML team reveals techniques to compress large language models below 1-bit precision, enabling powerful AI on iPho…
Latest articles in Research
Apple's ML team reveals techniques to compress large language models below 1-bit precision, enabling powerful AI on iPho…
Google DeepMind launches AlphaFold 4, achieving unprecedented accuracy in protein structure prediction and expanding to …
MIT CSAIL researchers unveil a neural network capable of learning physical laws directly from raw video footage, bypassi…
Microsoft Research presents breakthroughs in large-scale distributed systems, datacenter networking, and AI infrastructu…
MIT researchers introduce a novel alignment framework that builds on Anthropic's Constitutional AI to improve safety in …
Ilya Sutskever's Safe Superintelligence releases its debut technical paper, offering the first glimpse into the secretiv…
Seoul National University team develops novel memory optimization techniques enabling large AI model training on consume…
Sony AI Research Lab unveils a neural network architecture that generates multi-instrument compositions with unprecedent…
NTT Research develops a quantum-inspired optimization model that outperforms classical AI approaches across key benchmar…
A developer has built a fully functional Llama 2 inference engine in just 1356 bytes of x86 assembly, pushing AI minimal…
Apple's ML research team publishes new techniques enabling large language models to run efficiently on iPhones and iPads…
OpenAI has published new research on constitutional AI training, a safety approach pioneered by rival Anthropic, signali…