Students often train large language models (LLMs) as part of a group. In that case, your group should implement robust access ...

Mu Language Model is a Small Language Model (SLM) from Microsoft that acts as an AI Agent for Windows Settings. Read this ...

To the best of our knowledge, we present the first exploration of combining Swin Transformer and convolution in both the encoder and decoder stages. Through comprehensive comparative analysis, we ...

Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for multi-step ...

Call it the return of Clippy — this time with AI. Microsoft’s new small language model shows us the future of interfaces.

Modular Python implementation of encoder-only, decoder-only and encoder-decoder transformer architectures from scratch, as detailed in Attention Is All You Need.

Encoders produce encodings for the input sequence, while the decoders take all the encodings from encoders and use contextual information to generate the prediction results. Each transformer block is ...

This comprehensive guide delves into decoder-based Large Language Models (LLMs), exploring their architecture, innovations, and applications in natural language processing. Highlighting the evolution ...