As AI systems grow increasingly multimodal, the role of visual perception models becomes more complex. Vision encoders are expected not only to recognize objects and scenes, but also to support tasks ...

For an LLM with billions of parameters ... you’ll want some engineering ingenuity (caching strategies, “predictive decoding”, etc.) to shave off more precious milliseconds.

The Transformer architecture encodes words and phrases in the encoder and decodes them with the decoder to be used by the LLM. (Image: Showmetech) The big difference between transformers and the ...

This base64 encoder/decoder is faster than the stdlib base64 package. Encoding is 70% faster on ARM64 (Mac book M2) and 36% on AMD64 (i5 11th Gen). Decoding MIME encoded base64, which is base64 with a ...

In contrastive learning, a text encoder f_text: R -> R^d may map textual reports to the same d-dimensional latent space for alignment with ECG encodings. In this approach, we train the LLM and f_ECG ...