Tag: models
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Optimizing Transformer Models for Variable-Length Input Sequences
Optimizing Transformer Models for Variable-Length Input Sequences How PyTorch NestedTensors, FlashAttention2, and xFormers can Boost Performance and Reduce AI Costs Photo by Tanja Zöllner on Unsplash As generative AI (genAI) models grow in both popularity and scale, so do the computational demands and costs associated with their training and deployment. Optimizing these models is crucial for enhancing…
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Mistral 7B Explained: Towards More Efficient Language Models
Mistral 7B Explained: Towards More Efficient Language Models RMS Norm, RoPE, GQA, SWA, KV Cache, and more! Part 5 in the “LLMs from Scratch” series — a complete guide to understanding and building Large Language Models. If you are interested in learning more about how these models work I encourage you to read: Part 1: Tokenization — A Complete Guide Part 2:…