Why We Think

lilianweng.github.io/posts/2025-05-01-thinking/

Agent Development Kit

google.github.io/adk-docs/tutorials/agent-team/

Anthropic: How we built our multi-agent research system

simonwillison.net/2025/Jun/14/multi-agent-research-system/

Scalable Diffusion Models with Transformers

www.wpeebles.com/DiT

2402.16288v1.pdf

arxiv.org/pdf/2402.16288v1

2312.12232v1.pdf

arxiv.org/pdf/2312.12232v1

Finally, a Replacement for BERT: Introducing ModernBERT

huggingface.co/blog/modernbert

2203.05797v2.pdf

arxiv.org/pdf/2203.05797

2406.05925v1.pdf

arxiv.org/pdf/2406.05925v1

2308.15022v2.pdf

arxiv.org/pdf/2308.15022

Memory profiling in Python with tracemalloc

www.red-gate.com/simple-talk/development/python/memory-profiling-in-python-with-tracemalloc/

Memory leak in a Python project

owlet.today/posts/memory-leak-in-a-python-project/

2404.16130v1.pdf

arxiv.org/pdf/2404.16130

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link-thumb.1vn.app/jp5ReklDNpcnUnZY_zaT8RbqN_ZprXqjydz4_lBE1Y6qU4ZnyjzC9h9q2ltpmGuzj798wxI2J6d_QpEuliDnVyvaBfILoc1_Y3nv-_Yf9oAw2dx9sg0i48KFPDVrv10LlqnEnC-YLrdE3WoApleV2v546UlRx5msXtKMzlV7LIU7CqwXcAesODe1UAQgY3zhw3vzlBIdUrVj13wMfvqz4A5rVDHd

1910.12840v1.pdf

arxiv.org/pdf/1910.12840

2404.12096v2.pdf

arxiv.org/pdf/2404.12096

2402.05672v1.pdf

arxiv.org/pdf/2402.05672

User preference modeling in a recommender system

substack.com/inbox/post/144215856

2309.08210v1.pdf

arxiv.org/pdf/2309.08210

2312.02724.pdf

arxiv.org/pdf/2312.02724.pdf

2311.11045.pdf

arxiv.org/pdf/2311.11045.pdf

EMNLP2019-NRMS.pdf

wuch15.github.io/paper/EMNLP2019-NRMS.pdf

Learning to Learn

hbr.org/2016/03/learning-to-learn

AI Watermarking 101: Tools and Techniques

huggingface.co/blog/watermarking

A Visual Guide to Mamba and State Space Models

maartengrootendorst.substack.com/p/a-visual-guide-to-mamba-and-state?utm_source=post-email-title&publication_id=1741130&post_id=141228095&utm_campaign=email-post-title&isFreemail=true&r=12vrjf&utm_medium=email

khoahocdulieu.github.io/2021/07/16/OT1.html

2402.08268.pdf

arxiv.org/pdf/2402.08268.pdf

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling - 2308.07192.pdf

arxiv.org/pdf/2308.07192.pdf

2401.07519.pdf

arxiv.org/pdf/2401.07519.pdf

2312.00752.pdf

arxiv.org/pdf/2312.00752.pdf