They solved AI’s memory problem!

AI Search · Advanced ·🧠 Large Language Models ·3mo ago

Key Takeaways

Kimi AI solves AI's memory problem using Attention Residuals, enabling adaptive and continuous learning AI models

Original Description

Attention Residuals by Kimi AI. Adaptive, continuous learning AI models. #ai #ainews #llm #airesearch #agi Thanks to our sponsor Wondercraft. Use my code AI-SEARCH to get $25 OFF! https://www.wondercraft.ai/?via=ref Original paper: https://arxiv.org/abs/2603.15031 Transformers explainer: https://youtu.be/U2hZFMVNSE0 0:00 Intro 0:27 AI’s amnesia problem 1:50 Design of deep AI models 3:19 Residual connections 6:50 The genius of current language models 9:03 Applying attention to residuals 13:05 Wondercraft 15:22 Infra problems 17:46 Compute results 18:50 Performance results 20:45 Wider or deeper 22:22 From static to adaptive Newsletter: https://aisearch.substack.com/ Find AI tools & jobs: https://ai-search.io/ Support: https://ko-fi.com/aisearch Here's my equipment, in case you're wondering: Lenovo Thinkbook: https://amzn.to/4jWeKwH Dell Precision 5690: https://www.dell.com/en-us/dt/ai-technologies/index.htm?utm_source=AISearchTools&utm_medium=youtube&utm_campaign=precisionai#tab0=0 GPU: Nvidia RTX 5000 Ada https://nvda.ws/3zfqGqS Mic: Shure SM7B https://amzn.to/3DErjt1 Audio interface: Scarlett Solo https://amzn.to/3qELMeu
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Chapters (12)

Intro
0:27 AI’s amnesia problem
1:50 Design of deep AI models
3:19 Residual connections
6:50 The genius of current language models
9:03 Applying attention to residuals
13:05 Wondercraft
15:22 Infra problems
17:46 Compute results
18:50 Performance results
20:45 Wider or deeper
22:22 From static to adaptive
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