To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource ... with a success rate of nearly 50%. Our model achieved competitive results, mainly ...

In this paper, we implement and parallelize batch learning for a Sequence-to- Sequence (Seq2Seq) model, which is the most basic model of NMT, without using a padding strategy. More specifically, our ...

Meta's AI team has faced a talent drain as key Llama model creators have exited. The departures raise concerns about Meta's ability to retain top AI talent. Meta's AI strategy is challenged by ...

We introduce O-SegNet- the robust encoder and decoder architecture for objects segmentation from high-resolution aerial imagery data to address this challenge. The proposed O-SegNet architecture ...

Meta Platforms (Nasdaq:META) has decided to delay the public release of its most ambitious artificial intelligence model yet — Llama 4 Behemoth ... of-Experts (MoE) architecture, designed ...

Meta Platforms is significantly delaying its flagship LLama 4 Behemoth AI model. The company is pushing its debut from early summer to fall 2025 or later, The Wall Street Journal reported.

May 15 (Reuters) - Meta Platforms (META.O), opens new tab is delaying the release of its flagship "Behemoth" AI model due to concerns ... in April it was previewing Llama 4 Behemoth, which it ...