NLP
In the groundbreaking 2017 paper 8220 Attention Is All You Need 8221 Vaswani et al introduced Sinusoidal Position Embeddings to help Transformers encode positional information without recurrence or convolution This
Self attention the beating heart of Transformer architectures treats its input as an unordered set That mathematical elegance is also a curse without extra signals the model has no idea
SigLIP 2 represents a significant step forward in the development of multilingual vision language encoders bringing enhanced semantic understanding localization and dense feature extraction capabilities Built on the foundations of
Alibaba Cloud just released Qwen3 the latest model from the popular Qwen series It outperforms all the other top tier thinking LLMs such as DeepSeek R1 o1 o3 mini Grok
- Generative AI, LLMs, NLP, RAGs