Thinking Machines Lab Inkling launches as the largest US-built open-weight AI model — a 975-billion-parameter multimodal ...

Abstract: Transformers, as a class of fundamental neural networks with an Attention Mechanism, have contributed to sectors associated with Artificial Intelligence (AI) and provoked extensive ...

Anthropic has never published a technical paper on Claude Mythos. That has not stopped the research community from theorizing. A new open-source project called OpenMythos, released on GitHub by Kye ...

Abstract: This paper proposes a decoder-only Transformer model for analyzing and clustering vehicle-to-vehicle interactions in highway merge zones. Leveraging deep learning, the model captures complex ...

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works? In this video, we break down Decoder Architecture in Transformers step by ...

NanoChat is a decoder-only, causal language model built entirely from scratch in PyTorch, following a NanoGPT-style architecture. The model is trained using next-token prediction and demonstrates how ...

Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics. It is released as an open weight ...

Pressure on power infrastructure in the United States is intensifying, with a supply shortage for power and distribution transformers to hit 30% and 10%, respectively, in 2025, according to a recent ...

Baseline transformer_baseline.py Sinusoidal PE (added to embedding) Standard Scaled Dot-Product RoFormer transformer.py RoPE (rotation applied to Q·K) Standard Scaled Dot-Product Adds a sinusoidal ...