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 ...

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 ...