
The transformer architecture revolutionized the world of Neural Networks. It was a springboard for what we know today as modern artificial intelligence. This podcast focuses on modern state of the art research paper reviews starting from the transformer and on.
| Publishes | Daily | Episodes | 340 | Founded | 3 months ago |
|---|---|---|---|---|---|
| Category | Technology | ||||

The research paper presents PageANN, a novel framework engineered to overcome the severe latency and scalability limitations facing existing **disk-based Approximate Nearest Neighbor Search (ANNS)** methods used in vector databases. Current systems s... more
This research presents a novel method for efficient long-context modeling in Large Language Models (LLMs) by tackling the quadratic complexity of attention mechanisms through KV cache compression. The core discovery is a fundamental **local KV cache ... more
The research systematically investigates the effects of integrating various gating mechanisms into the standard softmax attention layer, comparing over thirty configurations across dense and Mixture-of-Experts Large Language Models. The central findi... more
This research paper introduces LLaDA, an 8-billion parameter language model based on the masked diffusion model (MDM) architecture, specifically developed to challenge the assumption that core Large Language Model (LLM) capabilities are exclusive to ... more
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AI: post transformers launched 3 months ago and published 340 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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