Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·7h·
Discuss: r/LLM
Model Efficiency
Flag this post
A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·16h·
Discuss: Substack
🔍AI Interpretability
Flag this post
LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·5h
Model Efficiency
Flag this post
Generation at the Speed of Thought: Speculative Decoding
bittere.substack.com·23h·
Discuss: Substack
Model Efficiency
Flag this post
Synthesized Generative Modeling via Graph-Constrained Semantic Embedding
dev.to·17h·
Discuss: DEV
Model Efficiency
Flag this post
From hours to seconds: AI tools to detect animal calls
seangoedecke.com·1d·
Discuss: Hacker News
🤖AI
Flag this post
DialectalArabicMMLU: Benchmarking Dialectal Capabilities in Arabic and Multilingual Language Models
arxiv.org·5h
🔍AI Interpretability
Flag this post
Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·1d·
Discuss: Substack
Model Efficiency
Flag this post
Unlocking LLMs: The Self-Steering Revolution
dev.to·19h·
Discuss: DEV
✍️Prompt Engineering
Flag this post
ZkML Breakthrough: 13B Models Verified in 15 Minutes
lightcapai.medium.com·18h·
Discuss: Hacker News
Model Efficiency
Flag this post
Can-t stop till you get enough
cant.bearblog.dev·15h·
Discuss: Hacker News
🤖AI
Flag this post
How to access and use Minimax M2 API
dev.to·4h·
Discuss: DEV
Model Efficiency
Flag this post
Ask HN: is this a common LLM-assisted development workflow?
news.ycombinator.com·1d·
Discuss: Hacker News
✍️Prompt Engineering
Flag this post
Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
arxiv.org·5h
✍️Prompt Engineering
Flag this post
From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·20h
Model Efficiency
Flag this post
Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
arxiv.org·5h
Model Efficiency
Flag this post
Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·1d·
Discuss: DEV
🔍AI Interpretability
Flag this post
Thought Branches: Interpreting LLM Reasoning Requires Resampling
arxiv.org·5h
🔍AI Interpretability
Flag this post
Unlocking AI Potential: Squeezing Giant Models into Tiny Spaces
dev.to·11h·
Discuss: DEV
Model Efficiency
Flag this post
My First Multi-GPU Kernel: Writing All-to-All for AMD MI300X
gau-nernst.github.io·9h·
Discuss: Hacker News
Model Efficiency
Flag this post