NeuroDX’s 240M-Parameter Sphota Model Claims an Edge Over Liquid AI With 50x Less Training Data
IndiaAI-backed NeuroDX says its 240M-parameter Sphota model edges Liquid AI on benchmarks with 50x less training data. Results are preliminary.
Murai Labs Open-Sources Agaram 2.5B, a Tamil-First Language Model Trained From Scratch for Under $5,000
Murai Labs has released Agaram 2.5B, an open Tamil–English language model trained from random weights with a tokenizer built for Tamil, on a pretraining compute bill of about USD 4,765. It translates better than Sarvam-1 in the directions tested but remains weak on general knowledge.
Persistent Systems launches GenAI Hub to Accelerate Enterprise AI Integration
Persistent Systems has launched the GenAI Hub, a revolutionary platform designed to accelerate the adoption and integration of generative AI […]
