Tag

#AI efficiency

5 articles

UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size

Learn how Parcae, a new AI architecture, helps language models become more efficient and powerful without needing to be twice the size. Understand how this breakthrough could make AI more sustainable and accessible.

Apr 1511

Google's Veo 3.1 Lite cuts video generation costs by more than half

Google's Veo 3.1 Lite cuts video generation costs by more than half while maintaining speed and performance, making AI video creation more accessible.

Mar 3137

Alibaba just released Qwen 3.5 Small models: a family of 0.8B to 9B parameters built for on-device applications

This article explains Alibaba's Qwen 3.5 Small Model Series, a new approach to AI model design that emphasizes efficiency and on-device deployment over traditional large-scale parameter increases.

Mar 296

DeepSeek Signals Next-Gen R2 Model, Unveils Novel Approach to Scaling Inference with SPCT

Learn about SPCT (Sparse Prompt Compression Technique), a new method developed by DeepSeek AI that improves the scalability of reward models during inference, making AI systems more efficient and cost-effective.

Feb 2785

RAG vs. Context Stuffing: Why selective retrieval is more efficient and reliable than dumping all data into the prompt

As language models gain the ability to process massive context windows, experts argue that selective retrieval methods like RAG remain more efficient and reliable than simply dumping all data into prompts.

Feb 2356