Advancing AI for
humanity's benefit

TNSA AI unveils a cutting-edge mechanism called Autoregressive Prompt Attention (AutoPA), redefining prompt handling with a dynamic attention mechanism that adapts to varying prompt lengths and complexity.

Eclipse-1 Nano series receives a significant update, improving inference efficiency for edge devices by 20% without compromising model accuracy, enhancing Adhyaapak-2's performance in low-resource environments.

Tokenize2 tokenizer in ARCH-X 9 achieves 15% reduction in tokenization overhead, minimizing processing latency for multimodal data and streamlining applications across TNSA AI's frameworks.

StellarTTS integrates expressive emotion modeling using NGen-2.1Base, generating speech with nuanced tonal variations based on contextual prompts, piloted for Adhyaapak-2 and other interactive applications.