Ahmed Heakl

Arabic LLMs can speak the language of finance, but they often fail to reason about it, especially when it comes to causality and generation.

By communicating in a shared latent space, Latent-DARM lets you combine the global planning of diffusion models with the fluency of autoregressive models, boosting reasoning accuracy by up to 14% while slashing token usage.

Framework choice in multi-agent systems matters just as much as the LLM itself, a fact obscured by existing model-centric benchmarks.

Forget cloud GPUs – a new model brings unified multimodal understanding and generation to your iPhone, running 6x faster than alternatives.